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Published in 2019 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22168
Abstract: Results from association studies are traditionally corroborated by replicating the findings in an independent data set. Although replication studies may be comparable for the main trait or phenotype of interest, it is unlikely that secondary…
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Keywords:
type error;
association;
gwas;
replication ... See more keywords
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Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8505
Abstract: The statistical practice of modeling interaction with two linear main effects and a product term is ubiquitous in the statistical and epidemiological literature. Most data modelers are aware that the misspecification of main effects can…
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Keywords:
type error;
interaction;
misspecification main;
main effect ... See more keywords
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Published in 2019 at "Behavior Genetics"
DOI: 10.1007/s10519-018-9942-y
Abstract: For many multivariate twin models, the numerical Type I error rates are lower than theoretically expected rates using a likelihood ratio test (LRT), which implies that the significance threshold for statistical hypothesis tests is more…
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Keywords:
error;
type error;
error rates;
parameter bias ... See more keywords
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1
Published in 2018 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-017-9586-z
Abstract: Statistical sequential hypothesis testing is meant to analyze cumulative data accruing in time. The methods can be divided in two types, group and continuous sequential approaches, and a question that arises is if one approach…
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Keywords:
type;
type error;
error probability;
poisson ... See more keywords
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Published in 2018 at "Journal of Functional Programming"
DOI: 10.1017/s095679681700020x
Abstract: Abstract When type inference fails, it is often difficult to pinpoint the cause of the type error among many potential candidates. Generating informative messages to remove the type error is another difficult task due to…
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Keywords:
cause;
systematic identification;
error;
type error ... See more keywords
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Published in 2018 at "Psychological Methods"
DOI: 10.1037/met0000152
Abstract: Abstract In multigroup factor analysis, different levels of measurement invariance are accepted as tenable when researchers observe a nonsignificant (&Dgr;)&khgr;2 test after imposing certain equality constraints across groups. Large samples yield high power to detect…
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Keywords:
type error;
factor analysis;
invariance;
permutation ... See more keywords
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2
Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000490
Abstract: Careful consideration of the tradeoff between Type I and Type II error rates when designing experiments is critical for maximizing statistical decision accuracy. Typically, Type I error rates (e.g., .05) are significantly lower than Type…
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Keywords:
error;
error rate;
replication;
type error ... See more keywords
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1
Published in 2018 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2017.1406937
Abstract: ABSTRACT Propensity score analysis (PSA) is a technique to correct for potential confounding in observational studies. Covariate adjustment, matching, stratification, and inverse weighting are the four most commonly used methods involving propensity scores. The main…
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Keywords:
type error;
psa;
propensity;
power ... See more keywords
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Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1577858
Abstract: ABSTRACT Mediation analysis is a popular statistical analysis verifying the relation between an independent variable and a dependent variable through a mediator. There are three traditional tests to assess indirect effects: the Baron and Kenny…
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Keywords:
type error;
comparison type;
error rates;
effect ... See more keywords
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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1481968
Abstract: Abstract Differences in type I error and power rates for majority and minority groups are investigated when differential item functioning (DIF) contamination in a test is unbalanced. Typically, type I error and power rates are…
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Keywords:
type error;
unbalanced dif;
dif contamination;
error power ... See more keywords
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Published in 2020 at "Applied Measurement in Education"
DOI: 10.1080/08957347.2020.1789138
Abstract: ABSTRACT We used simulation techniques to assess the item-level and familywise Type I error control and power of an IRT item-fit statistic, the S-X2 . Previous research indicated that the S-X2 has good Type I…
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Keywords:
familywise type;
type error;
control;
item fit ... See more keywords