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PubMedDate not supplied

The influence of outpatient comprehensive geriatric assessment on survival: a meta-analysis.

Although outpatient Comprehensive Geriatric Assessment (CGA) has shown certain benefits in functional status and quality of life by many randomized controlled trials, no survival benefit has been reported. We hypothesized that the lack of survival benefit may be due to insufficient power of individual trials. In order to assess the influence of outpatient CGA on survival of older persons, we performed a meta-analysis of all randomized controlled trials of outpatient CGA. Nine studies consisting of 3750 subjects fulfilled the predetermined eligible criteria and were included in the meta-analysis. Combined mortality risk ratio with outpatient CGA intervention compared to usual care group was 0.95 (95% confidence interval, CI 0.82-1.12, P = 0.62). Treatment effects were homogeneous across the trials. This meta-analysis did not demonstrate survival benefit for outpatient CGA. Inadequate statistical power is unlikely to explain the results. Future researches of outpatient CGA should focus on coordinated and standardized measurement of outcomes related to functional status, institutionalization rate, and quality of life.

Aged↗
PubMed2005

Issues in the epidemiological investigation of dry mouth.

Despite decades of research, much remains unanswered about the epidemiology of dry mouth. This review aims to provide an overview of the condition's epidemiology and the issues to consider when planning an epidemiological study of dry mouth. The latter can be broadly grouped into: study design; sampling and statistical power considerations; the measurement of dry mouth; and the selection, nature and measurement of relevant exposure measures, including medications and potential confounding variables. Each of these is discussed, in order to provide guidance for prospective researchers based on experience with past research. Finally, an agenda for further epidemiological research into dry mouth is proposed.

Aged↗
PubMed2002

Model misspecification and probabilistic tests of topology: evidence from empirical data sets.

Probabilistic tests of topology offer a powerful means of evaluating competing phylogenetic hypotheses. The performance of the nonparametric Shimodaira-Hasegawa (SH) test, the parametric Swofford-Olsen-Waddell-Hillis (SOWH) test, and Bayesian posterior probabilities were explored for five data sets for which all the phylogenetic relationships are known with a very high degree of certainty. These results are consistent with previous simulation studies that have indicated a tendency for the SOWH test to be prone to generating Type 1 errors because of model misspecification coupled with branch length heterogeneity. These results also suggest that the SOWH test may accord overconfidence in the true topology when the null hypothesis is in fact correct. In contrast, the SH test was observed to be much more conservative, even under high substitution rates and branch length heterogeneity. For some of those data sets where the SOWH test proved misleading, the Bayesian posterior probabilities were also misleading. The results of all tests were strongly influenced by the exact substitution model assumptions. Simple models, especially those that assume rate homogeneity among sites, had a higher Type 1 error rate and were more likely to generate misleading posterior probabilities. For some of these data sets, the commonly used substitution models appear to be inadequate for estimating appropriate levels of uncertainty with the SOWH test and Bayesian methods. Reasons for the differences in statistical power between the two maximum likelihood tests are discussed and are contrasted with the Bayesian approach.

Animals↗
PubMed1992

Major depression and generalized anxiety disorder. Same genes, (partly) different environments?

Bivariate twin analysis can determine the extent to which two disorders share common genetic, familial environmental, or individual-specific environmental risk factors. We applied this method to lifetime diagnoses of major depression and generalized anxiety disorder as assessed at personal interview in a population-based sample of 1033 pairs of female same-sex twins. Three definitions of generalized anxiety disorder were used that varied in minimum duration (1 vs 6 months) and in the presence or absence of a diagnostic hierarchy. For all definitions of generalized anxiety disorder, the best-fitting twin model was the same. Familial environment played no role in the etiology of either condition. Genetic factors were important for both major depression and generalized anxiety disorder and were completely shared between the two disorders. A modest proportion of the nonfamilial environmental risk factors were shared between major depression and generalized anxiety disorder. Within the limits of our statistical power, our findings suggest that in women, the liability to major depression and generalized anxiety disorder is influenced by the same genetic factors, so that whether a vulnerable woman develops major depression or generalized anxiety disorder is a result of her environmental experiences.

Adult↗
PubMed1999

Correlates of lipoprotein(a) levels in a biracial cohort of young girls: the NHLBI Growth and Health Study.

Elevated levels of lipoprotein(a) [Lp(a)] are associated with increased risk for coronary heart disease (CHD). However, racial differences in both Lp(a) levels and their associated CHD risk are observed, with African Americans having, on average, higher Lp(a) levels than US whites but not the expected increase in CHD risk. We determined Lp(a) levels and their correlates in a large cohort (n = 2379) of black and white girls, ages 9 to 10 years, at the baseline visit of a longitudinal study of obesity development, the National Heart, Lung, and Blood Institute Growth and Health Study. Lp(a) levels were available for 1269 girls. The median Lp(a) level in black girls was over 3-fold higher than that in white girls. Associations were examined between Lp(a) levels and low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, apolipoprotein B, triglycerides, adiposity, pubertal maturation stage, body fat patterning (triceps/truncal skinfold ratio), and dietary fat (Keys' score). In black girls multiple regression analysis identified LDL-C (P <.001) and adiposity (P =. 08) as predictors of Lp(a) levels. In white girls only LDL-C (P =. 02) was associated with Lp(a). In conclusion, the level of Lp(a) was significantly higher in black girls. Our study also revealed a racial difference in correlates of Lp(a), such as LDL-C and adiposity. Whether this racial difference is due to an underlying biologic difference or is merely a reflection of a greater statistical power to detect a relationship with the level, which was 2.5-fold higher in black girls than in white girls, needs further investigation.

Analysis of Variance↗
PubMed1996

Epidemiological appraisal of studies of residential exposure to power frequency magnetic fields and adult cancers.

OBJECTIVES: To appraise epidemiological evidence of the purported association between residential exposure to power frequency magnetic fields and adult cancers. METHODS: Literature review and epidemiological evaluation. RESULTS: Seven epidemiological studies have been conducted on the risk of cancer among adults in relation to residential exposure to power frequency magnetic fields. Leukaemia was positively associated with magnetic fields in three case-control studies. The other two case-control studies and two cohort studies did not show such a link. Brain tumours and breast cancer have rarely been examined by these studies. Based on the epidemiological results, the analysis of the role of chance and bias, and the criteria for causal inferences, it seems that the evidence is not strong enough to support the putative causal relation between residential exposure to magnetic fields and adult leukaemia, brain tumours, or breast cancer. Inadequate statistical power is far more a concern than selection bias, information bias, and confounding in interpreting the results from these studies, and in explaining inconsistencies between studies. CONCLUSIONS: Our reviews suggested that the only way to answer whether residential exposure to magnetic fields is capable of increasing the risks of adult cancers is to conduct more studies carefully avoiding methodological flaws, in particular small sample size. We also suggested that the risk of female breast cancer should be the object of additional investigations, and that future studies should attempt to include information on exposure to magnetic fields from workplaces as well as residential exposure to estimate the effects of overall exposure to magnetic fields.

Bias↗
PubMed1988

Meta-analysis. A quantitative approach to research integration.

Meta-analysis is being used with increasing frequency in clinical medicine as an attempt to improve on traditional methods of narrative review by systematically aggregating information and quantifying its impact. Combining data from several studies using meta-analysis can increase statistical power, provide insight into the nature of relationships among variables, and increase generalizability of results more rigorously than less quantitative review methods. Like all review methods, meta-analysis can be limited by sampling bias, inadequate data, and biased outcome interpretation. Still, the advantages noted above make meta-analysis a methodology that warrants testing and empirical evaluation.

Data Collection↗
PubMed2005

A note on comparing exposure data to a regulatory limit in the presence of unexposed and a limit of detection.

In some occupational health studies, observations occur in both exposed and unexposed individuals. If the levels of all exposed individuals have been detected, a two-part zero-inflated log-normal model is usually recommended, which assumes that the data has a probability mass at zero for unexposed individuals and a continuous response for values greater than zero for exposed individuals. However, many quantitative exposure measurements are subject to left censoring due to values falling below assay detection limits. A zero-inflated log-normal mixture model is suggested in this situation since unexposed zeros are not distinguishable from those exposed with values below detection limits. In the context of this mixture distribution, the information contributed by values falling below a fixed detection limit is used only to estimate the probability of unexposed. We consider sample size and statistical power calculation when comparing the median of exposed measurements to a regulatory limit. We calculate the required sample size for the data presented in a recent paper comparing the benzene TWA exposure data to a regulatory occupational exposure limit. A simulation study is conducted to investigate the performance of the proposed sample size calculation methods.

Algorithms↗
PubMed2004

The role of coding time in estimating and interpreting growth curve models.

The coding of time in growth curve models has important implications for the interpretation of the resulting model that are sometimes not transparent. The authors develop a general framework that includes predictors of growth curve components to illustrate how parameter estimates and their standard errors are exactly determined as a function of receding time in growth curve models. Linear and quadratic growth model examples are provided, and the interpretation of estimates given a particular coding of time is illustrated. How and why the precision and statistical power of predictors of lower order growth curve components changes over time is illustrated and discussed. Recommendations include coding time to produce readily interpretable estimates and graphing lower order effects across time with appropriate confidence intervals to help illustrate and understand the growth process.

Child↗
PubMed2002

Association between competing interests and authors' conclusions: epidemiological study of randomised clinical trials published in the BMJ.

OBJECTIVE: To assess the association between competing interests and authors' conclusions in randomised clinical trials. DESIGN: Epidemiological study of randomised clinical trials published in the BMJ from January 1997 to June 2001. Financial competing interests were defined as funding by for profit organisations and other competing interests as personal, academic, or political. STUDIES: 159 trials from 12 medical specialties. MAIN OUTCOME MEASURES: Authors' conclusions defined as interpretation of extent to which overall results favoured experimental intervention. Conclusions appraised on 6 point scale; higher scores favour experimental intervention. RESULTS: Authors' conclusions were significantly more positive towards the experimental intervention in trials funded by for profit organisations alone compared with trials without competing interests (mean difference 0.48 (SE 0.13), P=0.014), trials funded by both for profit and non-profit organisations (0.30 (SE 0.10), P=0.003), and trials with other competing interests (0.45 (SE 0.13), P=0.006). Other competing interests and funding from both for profit and non-profit organisations were not significantly associated with authors' conclusions. The association between financial competing interests and authors' conclusions was not explained by methodological quality, statistical power, type of experimental intervention (pharmacological or non-pharmacological), type of control intervention (for example, placebo or active drug), or medical specialty. CONCLUSIONS: Authors' conclusions in randomised clinical trials significantly favoured experimental interventions if financial competing interests were declared. Other competing interests were not significantly associated with authors' conclusions.

Analysis of Variance↗
PubMedDate not supplied

Joint tests for quantitative trait loci in experimental crosses.

Selective genotyping is common because it can increase the expected correlation between QTL genotype and phenotype and thus increase the statistical power of linkage tests (i.e., regression-based tests). Linkage can also be tested by assessing whether the marginal genotypic distribution conforms to its expectation, a marginal-based test. We developed a class of joint tests that, by constraining intercepts in regression-based analyses, capitalize on the information available in both regression-based and marginal-based tests. We simulated data corresponding to the null hypothesis of no QTL effect and the alternative of some QTL effect at the locus for a backcross and an F2 intercross between inbred strains. Regression-based and marginal-based tests were compared to corresponding joint tests. We studied the effects of random sampling, selective sampling from a single tail of the phenotypic distribution, and selective sampling from both tails of the phenotypic distribution. Joint tests were nearly as powerful as all competing alternatives for random sampling and two-tailed selection under both backcross and F2 intercross situations. Joint tests were generally more powerful for one-tailed selection under both backcross and F2 intercross situations. However, joint tests cannot be recommended for one-tailed selective genotyping if segregation distortion is suspected.

Computer Simulation↗
PubMed2005

Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM.

Reliability, the consistency of a test or measurement, is frequently quantified in the movement sciences literature. A common metric is the intraclass correlation coefficient (ICC). In addition, the SEM, which can be calculated from the ICC, is also frequently reported in reliability studies. However, there are several versions of the ICC, and confusion exists in the movement sciences regarding which ICC to use. Further, the utility of the SEM is not fully appreciated. In this review, the basics of classic reliability theory are addressed in the context of choosing and interpreting an ICC. The primary distinction between ICC equations is argued to be one concerning the inclusion (equations 2,1 and 2,k) or exclusion (equations 3,1 and 3,k) of systematic error in the denominator of the ICC equation. Inferential tests of mean differences, which are performed in the process of deriving the necessary variance components for the calculation of ICC values, are useful to determine if systematic error is present. If so, the measurement schedule should be modified (removing trials where learning and/or fatigue effects are present) to remove systematic error, and ICC equations that only consider random error may be safely used. The use of ICC values is discussed in the context of estimating the effects of measurement error on sample size, statistical power, and correlation attenuation. Finally, calculation and application of the SEM are discussed. It is shown how the SEM and its variants can be used to construct confidence intervals for individual scores and to determine the minimal difference needed to be exhibited for one to be confident that a true change in performance of an individual has occurred.

Humans↗
PubMed2000

Technique for detecting serial topographic changes in the optic disc and peripapillary retina using scanning laser tomography.

PURPOSE: To describe and evaluate a new statistical technique for detecting topographic changes in the optic disc and peripapillary retina measured with confocal scanning laser tomography. METHODS: The 256x256-pixel array of topographic height values obtained with each image from the Heidelberg Retina Tomograph (Heidelberg Engineering, Heidelberg, Germany) was divided into an array of 64x64 superpixels, where each superpixel contained 16 (i.e., 4x4) pixels. An analysis of variance technique was developed to analyze each superpixel with three baseline and three follow-up images. The performance of the technique was tested with and without adjustment for spatial correlation of topographic values using computer simulations and with real data from a normal control subject and a patient with progressive glaucomatous disc change. RESULTS: Computer simulation with fixed population means and variance, and varying spatial correlation showed a monotonically increasing number of superpixels with significant test results (false positives), with 20% false-positives when the spatial correlation was 0.8 (the approximate median value in real patient data). The number of false-positive results was similar (17%) in serial images of a normal subject. When corrected for spatial correlation, the number of false-positives was independent of the level of spatial correlation and remained at the expected value of less than 5% in both simulations and real data. Although the number of significant test results in the patient with progressive glaucoma decreased after correction for spatial correlation, the change was readily apparent. Statistical power to detect mean differences in topographic values ranging from 0.5 to 4.0 SDs in computer simulation showed low power for changes of 1 SD or less, but increased dramatically with larger changes. CONCLUSIONS: This technique has a high level of sensitivity to detect changes in the optic disc while maintaining a high level of specificity.

Computer Simulation↗
PubMed2006

The APL test: extension to general nuclear families and haplotypes and examination of its robustness.

OBJECTIVE: The Association in the Presence of Linkage test (APL) is a powerful statistical method that allows for missing parental genotypes in nuclear families. However, in its original form, the statistic does not easily extend to mixed nuclear family structures nor to multiple-marker haplotypes. Furthermore, the robustness of APL in practice has not been examined. Here we present a generalization of the APL model and examination of its robustness under a variety of non-standard scenarios. METHODS: The generalization is made possible by incorporating a bootstrap variance estimator instead of the original robust variance estimator. This allows for use of more than two affected siblings. Haplotype analysis was accomplished by combining estimation of haplotype phase into the EM algorithm. Computer simulation was used to examine robustness of the APL to departures from test assumptions. RESULTS: The extended APL tests both single-marker and multiple-marker haplotypes and shows more power than other association methods. Simulation results showed that the single-marker APL test is robust to the departure from HWE. For the haplotype test, violation of the HWE assumption can inflate type I error. We also evaluated general guidelines for the validity of APL with rare alleles and rare haplotypes. Software for the APL test is available from http://www.chg.duke.edu/research/apl.html.

Computer Simulation↗
PubMed1997

Risk of congenital anomalies in children of parents occupationally exposed to low level ionising radiation.

OBJECTIVES: To evaluate the risk of having a child with a congenital anomaly in relation to occupational exposure to low level ionising radiation in the pre-conception period. METHODS: A case-control study based on the Canadian congenital anomalies registry used record linkage techniques to identify congenital anomalies among male and female workers in Canada's largest electric company. Cases were defined as parents of a child with a congenital anomaly born between April 1979 and December 1986 who had a congenital anomaly diagnosed within the first year of life. Controls were an individually matched sample of parents of a liveborn child without an anomaly. Risk of congenital anomaly was assessed in relation to parental exposure to ionising radiation acquired through work within a nuclear generating station of an electric power company. Exposure was assessed according to employment, whether or not the worker was monitored for radiation exposure, and quantitative estimates of radiation dose. RESULTS: Employment within the electric power industry was not associated with an increased risk of congenital anomalies in the offspring of mothers or fathers. Risk estimates for workers monitored (those who are likely to be exposed to ionising radiation) were 1.75 (95% confidence interval (95% CI) 0.86 to 3.55) for mothers and 0.84 (95% CI 0.68 to 1.05) for fathers. Exposure for fathers before conception, defined cumulatively and for six months before conception, was not associated with increased risk of anomalies in their offspring. There were no significant increases in risk found between type of anomaly and any measure of exposure, although the statistical power in these groups was limited. The study had insufficient numbers to evaluate the effects of ionising radiation in mothers as only three mothers had recorded doses > 0 mSv. CONCLUSIONS: Overall, workers in a nuclear power industry, and specifically those exposed before conception to low levels of ionising radiation, do not appear to be at an increased risk of having a liveborn child with a congenital anomaly.

Canada↗
PubMed2001

Evidence for action? Patterns of clinical and public health research on tuberculosis in South Africa, 1994-1998.

OBJECTIVES: To describe patterns of clinical and public health research into tuberculosis in South Africa from 1994-1998, and to assess the quality of studies of diagnostic accuracy and treatment. DESIGN: MEDLINE and the African Health Anthology were searched for journal articles published from 1994-1998 reporting clinical and public health research into tuberculosis in South Africa. Information extracted from the reports included research setting, study design, aspects of the quality of study design and reporting, and evidence of attention to statistical power. RESULTS: One hundred and thirty-five eligible studies were identified; 39 (28.9%) of the studies were case reports or case series. Important methodological flaws were identified in studies of diagnosis and treatment that compromised the validity of the study results. Of the 28 studies assessing interventions, 10 (35.7%) were randomised controlled trials with only one reporting adequate allocation. Of the 34 studies assessing diagnosis, 16 (47.0%) were cross-sectional assessments of diagnostic accuracy, and none reported that comparison of the reference standard was independent or blind. Fifty-four (79.4%) of the analytical studies with statistically non-significant results showed no evidence of consideration of sample size. CONCLUSION: The usefulness of tuberculosis research in South Africa is compromised by the questionable validity of many studies and a lack of attention to sample size.

Case-Control Studies↗
PubMed1998

Should improvement in rheumatoid arthritis clinical trials be defined as fifty percent or seventy percent improvement in core set measures, rather than twenty percent?

OBJECTIVE: To determine whether improvement of more than 20% in core set parameters should be required before patients are characterized as improved in rheumatoid arthritis (RA) clinical trials. METHODS: Data from 6 RA trials were reanalyzed to evaluate the discriminant validity (ability to differentiate active treatment from control) of 4 proposed definitions of improvement: the current American College of Rheumatology (ACR) definition (a 20% threshold for core set parameters [ACR 201), a 50% threshold (ACR 50), a 70% threshold (ACR 70), and an ordinal definition in which a patient could be classified in any of 3 categories (unimproved, ACR 20, or ACR 50). To evaluate the discriminant validity of these 4 definitions of improvement, we characterized each patient in each trial as improved or not, based on each definition, and computed a chi-square value differentiating the active treatment group from the control group, with the corresponding P value. RESULTS: With an increase in the threshold for improvement, the percentage of placebo-treated patients who were classified as experiencing response dropped dramatically in all trials, as did the percentage of patients receiving active therapy (second-line drug, combination therapy, tumor necrosis factor p75-Fc fusion protein) who were classified as experiencing response. Generally, the drop in active treatment response rates was greater than the drop in placebo response rates, leaving the difference between the 2 groups less at the higher thresholds. Therefore, chi-square values fell as the threshold for response was raised. The ordinal definition of improvement yielded chi-square values similar to those obtained using ACR 20 alone. CONCLUSION: Adopting a definition of efficacy in RA trials that requires 50% or 70% improvement in core set parameters would likely compromise statistical power and make it more difficult to distinguish between 2 treatments with different efficacy. ACR 20 should continue to be the primary measure of efficacy in RA trials, with higher thresholds for improvement being determined and reported as secondary efficacy measures.

Antirheumatic Agents↗
PubMed2004

Genetic and environmental influences on binge eating in the absence of compensatory behaviors: a population-based twin study.

OBJECTIVE: The current study explores the extent to which genetic and environmental factors influence liability to binge eating in the absence of compensatory behaviors (BE) in a population-based sample of twins. METHOD: Questionnaire data on 8,045 same-sex and opposite-sex twins, aged 18-31 years, from a Norwegian twin registry were used to assess BE during the last 6 months. RESULTS: The best-fitting biometrical model suggested that the heritability of BE was 41% (95% confidence interval [CI]: 0.31-0.50). Individual environmental factors accounted for the rest of the variance (59%; 95% CI: 0.50-0.69). No significant sex differences were found, but the statistical power to detect such effects was low. Shared environmental influences on the liability to BE in males could not be ruled out. DISCUSSION: The findings indicate significant additive genetic influences on BE, supporting the validity of the core features of binge eating disorder as a diagnostic category.

Adaptation, Psychological↗