The association between cancellous architecture and loading in bone: an optical data analytic view.
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Animals↗
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[Evaluation of environmental analytical data from the Federal Republic of Germany demonstrated by chloroform in drinking water (author's transl)].
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Chlorine↗
[Interaction, transformation and empirical significance. II. Statistical data analytical aspects].
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Factor Analysis, Statistical↗
Analytical data capture system validation in a preclinical/clinical laboratory.
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Algorithms↗
[Studies on the identification of psychotropic substances. IX. Preparation and various analytical data of reference standard of new psychotropic substances, N-ethyl methylenedioxyamphetamine, N-hydroxy methylenedioxyamphetamine, mecloqualone, 4-methylaminorex, phendimetrazine and phenmetrazine].
The reference standards of N-Ethyl methylenedioxyamphetamine, N-Hydroxy methylenedioxy-amphetamine, Mecloqualone, 4-Methylaminorex. Phendimetrazine and Phenmetrazine were chemically prepared from commercial chemicals. Their purities determined by HPLC were more than 99.8%. The standard spectra and chromatograms of the standards such as TLC, UV, IR, HPLC, GC/MS and NMR were measured. For the identification of these six drugs in forensic laboratory, their mass fragmentation and NMR spectra were discussed.
3,4-Methylenedioxyamphetamine↗
Analytical data of March 1993 blast victims--the KEM Hospital experience.
On 13th March 1993 consequent to a series of explosions in the city a large number of casualties were attended to at this hospital. A total of 248 patients were treated for various injuries which included 85 minor and 34 major operations. Seventy-nine patients were brought in "dead on arrival". There were 12 deaths after admission out of which 6 patients died after surgery. The cause of death was hemorrhagic shock in 5 patients, burns in 2, severe head injury in 2, and shock lung in 3 patients.
Explosions↗
Analytical data of January 1993 communal riot victims--the KEM Hospital experience.
Bombay experienced a violent outbreak of communal rioting in January 1993. Four hundred and thirteen casualties were treated in the KEM hospital from January 7 to January 15, of which 194 required admission and further management. Twenty-seven were brought dead on arrival. The large influx of casualties sustained over a period of 9 days tended to overwhelm the medical facilities. The data of the admitted patients are analyzed to identify the frequency of admissions, cause and nature of injuries sustained, management and prognosis of casualties in such a catastrophe. An attempt is also made to identify the problems faced during such a crisis and a few suggestions made for their solution.
Adult↗
[Isotypic characterization of IgA paraproteins: association with other clinical and analytic data].
A study was conducted to investigate the relationships between the characteristics of IgA paraprotein and the clinical findings in a group of 196 patients. In 19 cases IgA paraprotein was associated with another monoclonal immunoglobulin (IgG or IgM); the other 177 patients had a single IgA paraprotein; 145 of them corresponded to multiple myeloma (MM) and the other 32 to other diagnostics. Class and type of paraproteins were identified by immunoelectrophoresis and subclass by an enzyme-immunoassay specifically developed for this study. The degree of polymerization of the protein was determined by gel filtration; quantitation of monoclonal IgA and polyclonal IgG and IgM was obtained by kinetic nephelometry. Out of 196 paraproteins, 96.4% were classified in IgA1 subclass and only 3.6% in IgG2. In 14 cases, all of them diagnosed with MM, monoclonal IgA in serum was associated with Bence-Jones protein; in more than 78% of them light chains corresponded to type lambda, whereas type kappa predominated (over 60%) in cases without Bence-Jones protein in serum. Significantly higher serum levels of monoclonal IgA were associated with the diagnosis of myeloma, with type kappa paraproteins, and with the presence of Bence-Jones protein in serum. The cases with two paraproteins (IgA and IgG or IgM) had significantly lower serum levels of IgA, with comparable levels of total paraprotein (the addition of both monoclonal immunoglobulins). Serum levels of polyclonal IgG and IgM, which appeared decreased in cases of MM, were normal in cases with other conditions. In all these cases, monoclonal IgA showed a monomeric character, whereas relevant amounts of polymerized IgA paraprotein was found in almost a third part of myeloma cases, particularly in those with higher serum levels of paraprotein, or when paraprotein belonged to type kappa. The 5 IgA2 paraproteins analyzed had a polymeric character. In conclusion, a detailed, both qualitative and quantitative, analysis of IgA paraproteins can lead to a better knowledge of conditions associated with their presence and at the same time provides useful data for a clinical evaluation of patients.
Humans↗
The position and value of extratransference interpretation.
The role of extratransference interpretation in the theory of technique has been insufficiently defined and only tangentially discussed. Extratransference interpretation refers to interpretation that is relatively outside the analytic transference relationship. Although interpretive resolution of the transference neurosis is the central area of analytic work, transference is not the sole or whole focus of interpretation, or the only effective "mutative" interpretation, or always the most significant interpretation. Extratransference interpretation has a position and value which is not simply ancillary, preparatory, and supplementary to transference interpretation. Transference analysis is essential, but extratransference interpretation, including genetic interpretation and reconstruction, is also necessary, complementary, and synergistic. Transference is a repetition that requires analysis of its genetic sources in childhood conflict and fixation. Transference and reality, past and present, are newly defined, understood, and integrated in the analytic process. Transference fantasy cannot be clarified without understanding the "grains of truth" to which it may be anchored in reality inside and outside the analytic situation. The analyst's real attitudes and attributes may influence the transference and transference analysis. Countertransference also tends to evoke transference reactions which are unique to each patient, so that there are contributions from both parties to the analytic process and the analytic data. Analytic understanding should encompass the overlapping transference and extratransference spheres, fantasy and reality, past and present. A "transference only" position is theoretically untenable and could lead to an artificial reduction of all associations and interpretations into a transference mold and to an idealized folie à deux.
Conflict, Psychological↗
Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study.
BACKGROUND: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used. OBJECTIVE: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU). AOU is an ongoing national, multiyear study aimed to build a research cohort of 1 million participants that reflects the diversity of the United States, including minority, health-disparate, and other populations underrepresented in biomedical research (UBR). METHODS: We collaborated with community members, health care provider organizations (HPOs), and NIH leadership to design, build, and validate a secure, feature-rich digital platform to facilitate multisite, hybrid, and remote study participation and multimodal data collection in AOU. Participants were recruited by in-person, print, and online digital campaigns. Participants securely accessed the DHRP via web and mobile apps, either independently or with research staff support. The participant-facing tool facilitated electronic informed consent (eConsent), multisource data collection (eg, surveys, genomic results, wearables, and electronic health records [EHRs]), and ongoing participant engagement. We also built tools for research staff to conduct remote participant support, study workflow management, participant tracking, data analytics, data harmonization, and data management. RESULTS: We built a secure, participant-centric DHRP with engaging functionality used to recruit, engage, and collect data from 705,719 diverse participants throughout the United States. As of April 2024, 87% (n=613,976) of the participants enrolled via the platform were from UBR groups, including racial and ethnic minorities (n=282,429, 46%), rural dwelling individuals (n=49,118, 8%), those over the age of 65 years (n=190,333, 31%), and individuals with low socioeconomic status (n=122,795, 20%). CONCLUSIONS: We built a participant-centric digital platform with tools to enable engagement with individuals from different racial, ethnic, and socioeconomic backgrounds and other UBR groups. This DHRP demonstrated successful use among diverse participants. These findings could be used as best practices for the effective use of digital platforms to build and sustain cohorts of various study designs and increase engagement with diverse populations in health research.
Humans↗
Direct sedimentation analysis of interference optical data in analytical ultracentrifugation.
Sedimentation data acquired with the interference optical scanning system of the Optima XL-I analytical ultracentrifuge can exhibit time-invariant noise components, as well as small radial-invariant baseline offsets, both superimposed onto the radial fringe shift data resulting from the macromolecular solute distribution. A well-established method for the interpretation of such ultracentrifugation data is based on the analysis of time-differences of the measured fringe profiles, such as employed in the g(s*) method. We demonstrate how the technique of separation of linear and nonlinear parameters can be used in the modeling of interference data by unraveling the time-invariant and radial-invariant noise components. This allows the direct application of the recently developed approximate analytical and numerical solutions of the Lamm equation to the analysis of interference optical fringe profiles. The presented method is statistically advantageous since it does not require the differentiation of the data and the model functions. The method is demonstrated on experimental data and compared with the results of a g(s*) analysis. It is also demonstrated that the calculation of time-invariant noise components can be useful in the analysis of absorbance optical data. They can be extracted from data acquired during the approach to equilibrium, and can be used to increase the reliability of the results obtained from a sedimentation equilibrium analysis.
Animals↗
Some methodological issues in statistical estimation of air pollution and health.
This paper introduces a new method for estimating a dose-response relationship from spatially averaged time series of air pollution and health data. Because time is perceived as a nuisance parameter to be eliminated, least-squares regression and traditional time series methodology (e.g., spectral analysis Box-Jenkins methods) are rejected in favor of a nonparametric estimation procedure based on observing health effects in times of nearly equal pollution. The method requires estimating the ratio of two density functions and avoids problems of aggregation, linearity and normality. In spite of the formal tests described, the procedure seems most useful at present as a data analytic and data display device rather than as an inferential tool.
Air Pollution↗
Validity of linear regression in method comparison studies: is it limited by the statistical model or the quality of the analytical input data?
We compared the application of ordinary linear regression, Deming regression, standardized principal component analysis, and Passing-Bablok regression to real-life method comparison studies to investigate whether the statistical model of regression or the analytical input data have more influence on the validity of the regression estimates. We took measurements of serum potassium as an example for comparisons that cover a narrow data range and measurements of serum estradiol-17beta as an example for comparisons that cover a wide data range. We demonstrate that, in practice, it is not the statistical model but the quality of the analytical input data that is crucial for interpretation of method comparison studies. We show the usefulness of ordinary linear regression, in particular, because it gives a better estimate of the standard deviation of the residuals than the other procedures. The latter is important for distinguishing whether the observed spread across the regression line is caused by the analytical imprecision alone or whether sample-related effects also contribute. We further demonstrate the usefulness of linear correlation analysis as a first screening test for the validity of linear regression data. When ordinary linear regression (in combination with correlation analysis) gives poor estimates, we recommend investigating the analytical reason for the poor performance instead of assuming that other linear regression procedures add substantial value to the interpretation of the study. This investigation should address whether (a) the x and y data are linearly related; (b) the total analytical imprecision (s(a,tot)) is responsible for the poor correlation; (c) sample-related effects are present (standard deviation of the residuals >> s(a,tot)); (d) the samples are adequately distributed over the investigated range; and (e) the number of samples used for the comparison is adequate.
Chromatography, Ion Exchange↗
SED88: a Pascal program for the analysis of sedimentation equilibrium data.
Analytical ultracentrifugation is commonly used for the determination of molecular weights (sedimentation equilibrium) and sedimentation coefficients (sedimentation rate) of biological macromolecules in solution. A Turbo Pascal program for the analysis of sedimentation equilibrium centrifugation data produced by absorbance optical systems is described. The user may enter data from a scan of absorbance versus distance from the centre of rotation, via a graphics tablet (or ASCII file). This is subsequently manipulated to yield an apparent weight average molecular weight for the given sample. Plots of ln (absorbance) versus (radius2) may also be produced. The method described uses readily available computational equipment requiring only a graphics tablet in addition to an IBM PC compatible computer. This technique and the software developed have been used to investigate the molecular weight range of two International Humic Substances Society (IHSS) reference samples from the Suwannee River.
Absorption↗
Matching health policy with data: data and analytic requirements for federal policymakers.
The health data and statistical needs of our health care system continue to grow. Though we are expected to spend approximately $1.4 trillion on health care next year, we know little about where the dollars are spent and what they are purchasing. Our national health statistics are currently collected through a patchwork of claims data and survey data. These data are collected periodically, are often out of date, and do not contain several key data elements critical for serious evaluation of the performance of our health care system. Failure to collect more timely and comprehensive data will undermine ongoing efforts for controlling the growth in costs and improving quality.
Accounting↗
Analytical behavior data for chemicals determined using AOAC multiresidue methodology for pesticide residues in foods.
Analytical methods capable of detecting more than one pesticide residue simultaneously (multiresidue methods) become more effective with an increase in the number of chemicals whose behavior through the various steps of the method has been documented. Since 1970, the method behavior data related to the AOAC official method for residues of 25 chlorinated and phosphated pesticides and polychlorinated biphenyls have been extended to include information on twice as many chemicals as was previously available. The value of having a large bank of method behavior data is outlined and the experimental protocol by which the data were collected is described. A complete listing is included of the available data on the analytical behavior of over 300 pesticidal and/or industrial chemicals.
Chemistry Techniques, Analytical↗
Bioanalytic considerations for pharmacokinetic and biopharmaceutic studies.
The correct evaluation of pharmacokinetic and biopharmaceutic data can only be achieved if accurate analytic data are obtained. The accuracy of analytic data depends on the criteria used to validate the method. Consequently, careful scrutiny of drug stability, assay sensitivity, selectivity, recovery, linearity, precision, and accuracy is necessary for the proper interpretation of data. The importance of method validation and its influence on pharmacokinetic and biopharmaceutic data evaluation and interpretation will be discussed.
Biopharmaceutics↗
Protecting the integrity of clinical laboratory test results.
The authors' inspection reports demonstrate that the improper alteration of patient data is not a rare aberration in private commercial clinical laboratories. Although laboratory surveyors could be trained to recognize this problem, the availability of unprotected test systems makes even trained inspectors ineffectual. Both regulatory agencies and professional accrediting agencies should be concerned that their surveyors may be placing a seal of approval on what are, in reality, compromised or even fabricated data. In proposing the regulations discussed in this paper, the FDA sought to "preserve the integrity of the agency's enforcement process." This goal will remain unattainable, however, until a mechanism has been devised to secure the original raw data produced by all of the analytical systems being used not only in clinical laboratories but also in environmental laboratories, pharmaceutical laboratories, etc. Laboratories, as well as regulatory agencies and accrediting bodies, need to be concerned on behalf of the patient, but laboratories may also need to be concerned on their own behalf. In the coming era of unprecedented cost constraints and competitive bidding, unscrupulous testing facilities or groups of such facilities could have a significant edge over their conscientious competitors if the issues raised here continue to be ignored. Although the analytical data management systems provide tremendous benefits, some have serious problems in ensuring the security of their data. However, if regulatory agencies, accrediting bodies, professional organizations, and the analyzer vendors make a united commitment, the problem of securing the integrity of analytical data could eventually be resolved. It is hoped that such a commitment will be made in the near future.
Autoanalysis↗