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PubMed1996

[Corneal distortion induced by speculum--studies with computer-assisted corneal topography].

The corneal distortion induced by the presence of an eyelid speculum was analysed by the Videokeratoscope-Eyesys Corneal Analysis System (EYESYS), with a Barraquer type speculum (B group) in 22 normal eyes and with a Kratz-Barraquer type speculum in 38 normal eyes (KB group). The following differences were evaluated in the 2 groups: intraocular pressure (IOP), refractive power, change in astigmatism of the Cravy method, and corneal refractive power before and after the specula were put in the interpalpebral fissure. Significant differences were found in the IOP in the KB group, in spherical equivalent in the B and KB groups, and in corneal refractive power in the B groups. Then the 38 eyes of the KB group were divided into two groups by the average level of proptosis and the average difference of IOP, and the corneal refractive power of the two groups was compared by statistical analysis. Significant difference was found in the direction of 0 degree/ 180 degrees in the group with higher than average proptosis and in the direction of 90 degrees/ 270 degrees in the group with higher than average difference in IOP. Multiple regression analysis suggested that higher grades of proptosis were related with steeper vertical meridians and that wider palpebral fissures were associated with steeper horizontal meridians. Multiple regression also showed that the speculum did not cause corneal distortion with the proper relation between level of proptosis and width of the palpebral fissure.

Adult↗
PubMed2005

Efficacy of the Cybersonic in comparison with the Braun 3D Excel and a manual toothbrush.

OBJECTIVES: To evaluate the efficacy of two power toothbrushes (Cybersonic and Braun 3D Excel) and one manual brush (Elmex super 29). MATERIAL AND METHODS: After professional toothcleaning 120 subjects were randomly assigned to three groups. Four weeks later, at baseline, the Quigley-Hein plaque index (QHI), the modified approximal plaque index (API), and the papillary bleeding index (PBI) were recorded. Thereafter the subjects used the assigned toothbrushes for 8 weeks. Improvements of the indices after 4 and 8 weeks were calculated as medians. Kruskal-Wallis- and Mann-Whitney U-test served for statistical analysis. RESULTS: All indices showed statistically significant reductions for both power toothbrushes which were superior to the manual brush (4 weeks: Cybersonic: API, 0.21; PBI, 0.25; QHI, 0.23; Braun: API, 0.20; PBI, 0.39; QHI, 0.22; Elmex: API, 0.04; PBI, 0.02; QHI, 0.07; 8 weeks: Cybersonic: API, 0.28; PBI, 0.36; QHI, 0.41; Braun: API, 0.36; PBI, 0.61; QHI, 0.35; Elmex: API, 0.03; PBI, 0.10; QHI, 0.08; p<0.001). The Braun was superior to the Cybersonic with respect to API after 8 weeks (p<0.05) and PBI after 4 and 8 weeks (p<0.01). CONCLUSION: Cybersonic and Braun 3D Excel may be more efficacious than a manual toothbrush in removing plaque and reducing gingivitis.

Adolescent↗
PubMed2005

Haplotype-sharing analysis using Mantel statistics for combined genetic effects.

We applied a new approach based on Mantel statistics to analyze the Genetic Analysis Workshop 14 simulated data with prior knowledge of the answers. The method was developed in order to improve the power of a haplotype sharing analysis for gene mapping in complex disease. The new statistic correlates genetic similarity and phenotypic similarity across pairs of haplotypes from case-control studies. The genetic similarity is measured as the shared length between haplotype pairs around a genetic marker. The phenotypic similarity is measured as the mean corrected cross-product based on the respective phenotypes. Cases with phenotype P1 and unrelated controls were drawn from the population of Danacaa. Power to detect main effects was compared to the X2-test for association based on 3-marker haplotypes and a global permutation test for haplotype association to test for main effects. Power to detect gene x gene interaction was compared to unconditional logistic regression. The results suggest that the Mantel statistics might be more powerful than alternative tests.

Haplotypes↗
PubMed2000

Making sense of everyday pain.

A social constructionist analysis is reported of how sense is made of everyday pain. Q factor analysis is used within a critical framework as Q methodology. Sixty-one participants completed the procedure. Eight factors or accounts of everyday pain were derived. These are reported as pain as malfunction, pain as self-growth, pain as spiritual growth, pain as alien invasion, pain as coping and control, pain as abuse, pain as homeostatic mechanism and pain and power. Common to all of the accounts is the theme of how pain relates to self, and in particular, of whether pain can change self. This theme is expanded and discussed in terms of how self is protected and legitimated in a context of pain as a fundamental threat. Implications of this study for how to understand the experience of 'abnormal' pain are discussed, as are possible new research routes.

Adaptation, Psychological↗
PubMed2000

Composite statistics for QTL mapping with moderately discordant sibling pairs.

Extreme discordant sibling-pair (EDSP) designs have been shown in theory to be very powerful for mapping quantitative-trait loci (QTLs) in humans. However, their practical applicability has been somewhat limited by the need to phenotype very large populations to find enough pairs that are extremely discordant. In this paper, we demonstrate that there is also substantial power in pairs that are only moderately discordant, and that designs using moderately discordant pairs can yield a more practical balance between phenotyping and genotyping efforts. The power we demonstrate for moderately discordant pairs stems from a new statistical result. Statistical analysis in discordant-pair studies is generally done by testing for reduced identity by descent (IBD) sharing in the pairs. By contrast, the most commonly-used statistical methods for more standard QTL mapping are Haseman-Elston regression and variance-components analysis. Both of these use statistics that are functions of the trait values given IBD information for the pedigree. We show that IBD sharing statistics and "trait value given IBD" statistics contribute complementary rather than redundant information, and thus that statistics of the two types can be combined to form more powerful tests of linkage. We propose a simple composite statistic, and test it with simulation studies. The simulation results show that our composite statistic increases power only minimally for extremely discordant pairs. However, it boosts the power of moderately discordant pairs substantially and makes them a very practical alternative. Our composite statistic is straightforward to calculate with existing software; we give a practical example of its use by applying it to a Genetic Analysis Workshop (GAW) data set.

Chromosome Mapping↗
PubMed1975

Communication disorders: a power analytic assessment of recent research.

This study assessed the relative statistical power of contemporary research in communication disorders. Results of the analysis, based upon an evaluation of two major journals, revealed overall mean power figures of 0.16, 0.44, and 0.73 for small, medium, and large effect sizes, respectively. Interdisciplinary comparisons indicated that low statistical power is not unique to research in communication disorders, but is apparent in other behavioral science areas as well. Several alternatives are offered to the researcher who will want to ensure sufficient power for his investigation on an a priori basis. The implications of this study are discussed in reference to the experimenter/clinician model.

Audiology↗
PubMed2000

Discovering patterns in microarray data.

The human genome is a complex system characterized by gene interactions and nonlinear behaviors. Complex systems cannot be viewed as the aggregate of their isolated pieces but must be studied as an integrated whole. Microarray technologies offer the opportunity to see the entire biological system as it existed at one moment in time. It is tempting to try to analyze the entire microarray at once to immediately discover the pattern being sought, for example, the pattern of a breast cancer. However, such an analysis would be a mistake because microarrays provide massively parallel information, the analysis of which is a nondeterministic polynomial time (NP)-hard problem. Current statistical methods are not sufficiently powerful to solve this NP-hard problem. The best approach to microarray analysis is to begin with a small number of the elements in the microarray known to be a pattern and ask questions of the other elements in the microarray; i.e., perform instantaneous scientific experiments regarding whether each of the other elements in the microarray are related to the known pattern.

Algorithms↗
PubMed2003

Exploring associations between serum levels of select organochlorines and thyroxine in a sample of New York state sportsmen: the New York State Angler Cohort Study.

This preliminary study investigated associations between environmental organochlorine compounds and thyroid function in a sample of 66 sportsmen selected from among participants in the New York State Angler Cohort Study. A cross-sectional design was employed with the primary goal of the analysis being the generation of specific testable hypotheses. Blood samples were analyzed for compounds based on a priori identified literature-cited evidence of thyroid disruption. These included hexachlorobenzene and polychlorinated biphenyl congeners 19, 28, 47, 118, 153, 169, 180, 183, and 187. Time of sample collection, serum triglycerides, cholesterol, high- and low-density lipoproteins, age, body mass index, and cigarette smoking were considered for each participant. Potential associations between organochlorine compounds and serum total thyroxine, controlling for potential confounders, were examined using multivariable linear regression models. The models reported consisted of all variates being entered ("full" model, R2=0.380, P=0.136) and stepwise selection of variates ("reduced" models, alpha=0.15) using the criterion of maximum partial correlation at each step. Several procedures were considered to address contaminant data below the limit of detection in the reduced models with no change in selected predictors. Hexachlorobenzene (beta=-0.113) and age (beta=0.007) were selected as predictors of serum T4 in the reduced models (R2=0.083, P=0.065). Power analysis suggested that by doubling the sample size the existing results would be statistically significant with a type I error of 0.05 and a power of 0.80. These findings are important in the design of a new specific study of thyroid function and environmental contaminants.

Adult↗
PubMed1988

The affected-pedigree-member method of linkage analysis.

This paper describes a generalization of the affected-sib-pair method of linkage analysis to pedigrees. By substituting identity-by-state relations for identity-by-descent relations, we develop a test statistic for detecting departures from independent segregation of disease and marker phenotypes. The statistic is based on the marker phenotypes of affected pedigree members only. Since it is more striking for distantly affected relatives to share a rare marker allele than a common marker allele, the statistic also includes a weighting factor based on allele frequency. The distributional properties of the statistic are investigated theoretically and by simulation. Part of the theoretical treatment entails generalizing Karigl's multiple-person kinship coefficients. When the test statistic is applied to pedigree data on Huntington disease, the null hypothesis of independent segregation between the marker locus and the disease locus is firmly rejected. In this case, as expected, there is a loss of power when compared with standard lod-score analysis. However, our statistic possesses the advantage of requiring no explicit assumptions about the mode of inheritance of the disease. This point is illustrated by application of the test statistic to data on rheumatoid arthritis.

Female↗
PubMed2004

Observer studies involving detection and localization: modeling, analysis, and validation.

Although the receiver operating characteristic (ROC) paradigm is the accepted method for evaluation of diagnostic imaging systems, it has some serious shortcomings inasmuch as it is restricted to one observer report per image. By contrast the free-response ROC (FROC) paradigm and associated analysis method allows the observer to report multiple abnormalities within each imaging study, and uses the location of reported abnormalities to improve the measurement. Because the ROC method cannot accommodate multiple responses or use location information, its statistical power will suffer. The FROC paradigm/analysis has not enjoyed widespread acceptance because of concern about whether responses made to the same diagnostic study can be treated as independent. We propose a new jackknife FROC analysis method (JAFROC) that does not make the independence assumption. The new analysis method combines elements of FROC and the Dorfman-Berbaum-Metz (DBM) methods. To compare JAFROC to an earlier free-response analysis method (specifically the alternative free-response, or AFROC method), and to the DBM method, which uses conventional ROC scoring, we developed a model for generating simulated FROC data. The simulation model is based on an eye-movement model of how experts evaluate images. It allowed us to examine null hypothesis (NH) behavior and statistical power of the different methods. We found that AFROC analysis did not pass the NH test, being unduly conservative. Both the JAFROC method and the DBM method passed the NH test, but JAFROC had more statistical power than the DBM method. The results of this comparison suggest that future studies of diagnostic performance may enjoy improved statistical power or reduced sample size requirements through the use of the JAFROC method.

Algorithms↗
PubMedDate not supplied

A shift from significance test to hypothesis test through power analysis in medical research.

Medical research literature until recently, exhibited substantial dominance of the Fisher's significance test approach of statistical inference concentrating more on probability of type I error over Neyman-Pearson's hypothesis test considering both probability of type I and II error. Fisher's approach dichotomises results into significant or not significant results with a P value. The Neyman-Pearson's approach talks of acceptance or rejection of null hypothesis. Based on the same theory these two approaches deal with same objective and conclude in their own way. The advancement in computing techniques and availability of statistical software have resulted in increasing application of power calculations in medical research and thereby reporting the result of significance tests in the light of power of the test also. Significance test approach, when it incorporates power analysis contains the essence of hypothesis test approach. It may be safely argued that rising application of power analysis in medical research may have initiated a shift from Fisher's significance test to Neyman-Pearson's hypothesis test procedure.

Biomedical Research↗
PubMed2005

Analyzing patterns of staining in immunohistochemical studies: application to a study of prostate cancer recurrence.

BACKGROUND: Immunohistochemical studies use antibodies to stain tissues with the goal of quantifying protein expression. However, protein expression is often heterogeneous resulting in variable degrees and patterns of staining. This problem is particularly acute in prostate cancer, where tumors are infiltrative and heterogeneous in nature. In this article, we introduce analytic approaches that explicitly consider both the frequency and intensity of tissue staining. METHODS: Compositional data analysis is a technique used to analyze vectors of unit-sum proportions, such as those obtained from soil sample studies or species abundance surveys. We summarized specimen staining patterns by the proportion of cells staining at mild, moderate, and intense levels and used compositional data analysis to summarize and compare the resulting staining profiles. RESULTS: In a study of Syndecan-1 staining patterns among 44 localized prostate cancer cases with Gleason score 7 disease, compositional data analysis did not detect a statistically significant difference between the staining patterns in recurrent (n = 22) versus nonrecurrent (n = 22) patients. Results indicated only modest increases in the proportion of cells staining at a moderate intensity in the recurrent group. In contrast, an analysis that compared quantitative scores across groups indicated a (borderline) significant increase in staining in the recurrent group (P = 0.05, t test). CONCLUSIONS: Compositional data analysis offers a novel analytic approach for immunohistochemical studies, providing greater insight into differences in staining patterns between groups, but possibly lower statistical power than existing, score-based methods. When appropriate, we recommend conducting a compositional data analysis in addition to a standard score-based analysis.

Biomarkers, Tumor↗
PubMed1985

Improving the use of epidemiologic data in health risk assessment.

Epidemiologic data with quantitative exposure measures is infrequently available for specific environmental agents. This lack of exposure measures creates confusion in interpreting epidemiologic data and therefore has impeded its efficient use in health risk analysis. This paper discusses screening and evaluating epidemiologic studies for use in assessing health risk. It also describes the larger role of epidemiology in reducing uncertainties in risk analysis. The approach recognizes that the various designs used to increase statistical power and to control for covariables have different functions in contemporary risk assessment as practiced by regulatory agencies. Each of these study designs is categorized for its role in risk analysis as useful for hazard identification or for dose-response assessment. Studies presenting geographic correlations are construed to be not directly useful in health risk assessment. The numerical level of the exposure data is a deciding factor in using valid epidemiologic studies. However, data measured on an ordinal scale can be used in qualitative assessments and can demonstrate the strength of the relationship. The application of this procedure is illustrated using epidemiologic studies on the carcinogenicity of chemicals contaminated with dioxins.

Dioxins↗
PubMed1994

If you can replicate the handedness-immune disorder effect, the more power to you.

Bryden, McManus, and Bulman-Fleming's (1994) meta-analysis of studies examining the Geschwind-Behan-Galaburda hypothesis indicates that the original data set supports the hypothesis significantly more than the body of replication attempts. We present data on 2256 subjects that clearly fail to support the hypothesis and describe practical and statistical reasons suggesting why the original data cannot be easily replicated. A power analysis suggests that to find the effect in a general sample, one should plan to have 17,000 to 40,000 subjects.

Child↗
PubMed2003

A theory of power-law distributions in financial market fluctuations.

Insights into the dynamics of a complex system are often gained by focusing on large fluctuations. For the financial system, huge databases now exist that facilitate the analysis of large fluctuations and the characterization of their statistical behaviour. Power laws appear to describe histograms of relevant financial fluctuations, such as fluctuations in stock price, trading volume and the number of trades. Surprisingly, the exponents that characterize these power laws are similar for different types and sizes of markets, for different market trends and even for different countries--suggesting that a generic theoretical basis may underlie these phenomena. Here we propose a model, based on a plausible set of assumptions, which provides an explanation for these empirical power laws. Our model is based on the hypothesis that large movements in stock market activity arise from the trades of large participants. Starting from an empirical characterization of the size distribution of those large market participants (mutual funds), we show that the power laws observed in financial data arise when the trading behaviour is performed in an optimal way. Our model additionally explains certain striking empirical regularities that describe the relationship between large fluctuations in prices, trading volume and the number of trades.

Journal Article↗
PubMed1997

A comprehensive analysis of complex traits in problem 2A.

We used descriptive analysis to investigate the relationship between affection status and five quantitative traits (Q1-Q5) in Problem 2A and results suggested the five quantitative traits fall into two groups. The first group comprised three strongly correlated traits, Q1-Q3, which underlie affection status, and the second group comprised Q4 and Q5, which are not directly related to affection status. Segregation and linkage analyses of traits Q1-Q3 and affection status from the first replicate detected one of the major loci for Q1 (MG1) linked to marker 14 on chromosome 5 (D5G14). Because our segregation analysis failed to show evidence of a major locus effect on Q2, and we overlooked the interaction between MG3 and sex, we did not detect either MG2 or MG3. Using Haseman-Elston sib-pair analysis [Haseman and Elston, 1972], we also examined the statistical power of Q1 and type I error rate (using the environmental factor as an index), for the remaining 199 replicates in the context of a genome screen.

Chromosome Mapping↗
PubMed2003

Empowerment of chiropractic faculty: a profile in context.

BACKGROUND: The primary resource base and core human capital in chiropractic education is found among its faculty. The chiropractic profession depends on a motivated faculty for continuous quality improvement and innovation in areas of curriculum, scholarship, and practice. Empowerment has been associated with increased intrinsic motivation. Assessments of attitudes of faculty in terms of empowerment, a set of cognitions created by the work environment, may inform executive decision making related to development of a productive professional work environment. OBJECTIVE: The goal of this exploratory study is to provide an initial understanding of empowerment among faculty in the organizational context of chiropractic education, to construct a profile of perceived faculty empowerment, and to inquire into potential associations between perceived empowerment and faculty demographic and workplace characteristics. STUDY DESIGN: This was a full faculty survey using descriptive statistics and multivariable analysis. METHODS: Surveys were distributed to full- and part-time faculty working in the United States and Canada. The survey was composed of Spreitzer's multidimensional measure of psychologic empowerment and additional items designed to measure faculty demographics and workplace variables including academic rank, years at the institution, years in higher education, sex, age, area of assignment, employment status, and academic rank. RESULTS: More than 54% of the study population (N = 609) completed and returned the instrument. The respondents were typically male (68.4%) and employed full-time (81.6%). Almost half (47.5%) of the respondents were assigned to the area of patient care at their institution. Area of assignment and employment status emerged as important variables for explaining the variance in dependent variable scores. CONCLUSION: The findings of this research provide a basic profile and some initial perspectives of empowerment in the context of the work environment of the chiropractic profession's learning institutions.

Adult↗
PubMed2002

Meta-analysis of genetic-linkage analysis of quantitative-trait loci.

Meta-analysis is an important tool in linkage analysis. The pooling of results across primary linkage studies allows greater statistical power to detect quantitative-trait loci (QTLs) and more-precise estimation of their genetic effects and, hence, yields conclusions that are stronger relative to those of individual studies. Previous methods for the meta-analysis of linkage studies have been proposed, and, although some methods address the problem of between-study heterogeneity, most methods still require linkage analysis at the same marker or set of markers across studies, whereas others do not result in an estimate of genetic variance. In this study, we present a meta-analytic procedure to evaluate evidence from several studies that report Haseman-Elston statistics for linkage to a QTL at multiple, possibly distinct, markers on a chromosome. This technique accounts for between-study heterogeneity and estimates both the location of the QTL and the magnitude of the genetic effect more precisely than does an individual study. We also provide standard errors for the genetic effect and for the location (in cM) of the QTL, using a resampling method. The approach can be applied under other conditions, provided that the various studies use the same linkage statistic.

Computer Simulation↗