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M. Hauer-Jensen

dblp:64/5931 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1993
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Medical and health informatics · 64% Bioinformatics and computational biology · 36%
Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › drug development › clinical trial
clinical trial design
0.011993
Sample size calculation, power analysis and randomization: research project design in Windows · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology › biostatistics
sample size determination
0.011993
Sample size calculation, power analysis and randomization: research project design in Windows · Comput. Appl. Biosci. 1993

Methods — techniques the papers use, named apart from their topics

t-test · 0.0survival analysis · 0.0linear regression · 0.0descriptive statistics · 0.0correlation · 0.0power analysis · 0.0block randomization · 0.0
YearPublicationVenuePosition
1993 Sample size calculation, power analysis and randomization: research project design in Windows
abstract
Single estimates of sample size for a study may be easily obtained by use of a hand calculator or from published tables. In contrast, performing multiple calculations is a tedious and time-consuming task, which is greatly simplified by a computer program. The computer program presented here assists the investigator in calculating sample size estimates, determining statistical power and creating randomization tables for a study. The program is designed primarily for clinical trials and thus includes some features not found in other software packages performing similar tasks. Sample size calculation and power analysis are performed for dichotomous, continuous (parametric and non-parametric tests) and time-to-failure (exponential distribution and log-rank test) response variables, and for correlation coefficients. Sample size estimates and significance levels may be adjusted for multiple participating centers, non-compliance, interim analyses and.multiple testing. The randomization subroutine generates tables for studies with up to nine treatment arms and with any valid block size. As a Windows application, the program runs in a multitasking environment, allowing switching between programs and easy pasting of results into word-processing documents and other applications. It is very simple to use, with a completely menudriven interface and sufficient built-in help to obviate the use of a manual.
M. Hauer-Jensen
Comput. Appl. Biosci.1
1991 Statistical analysis in dBASE-compatible databases
abstract
Database management in clinical and experimental research often requires statistical analysis of the data in addition to the usual functions for storing, organizing, manipulating and reporting. With most database systems, transfer of data to a dedicated statistics package is a relatively simple task. However, many statistics programs lack the powerful features found in database management software. dBASE IV and compatible programs are currently among the most widely used database management programs. d4STAT is a utility program for dBASE, containing a collection of statistical functions and tests for data stored in the dBASE file format. By using d4STAT, statistical calculations may be performed directly on the data stored in the database without having to exit dBASE IV or export data. Record selection and variable transformations are performed in memory, thus obviating the need for creating new variables or data files. The current version of the program contains routines for descriptive statistics, paired and unpaired t-tests, correlation, linear regression, frequency tables, Mann-Whitney U-test, Wilcoxon signed rank test, a time-saving procedure for counting observations according to user specified selection criteria, survival analysis (product limit estimate analysis, log-rank test, and graphics), and normal t and chi-squared distribution functions.
M. Hauer-Jensen
Comput. Appl. Biosci.1