population-based case-control teratologic study of oral erythromycin treatment during pregnancy
hungarian authors, nice language. methods.
streda 28. novembra 2007
gwas, framingham
gwas for subclinical AS (IMT, CAC, AAI) - 100K, no genome wide significance
cf its related.
- echocardiography measurements, brachial endothelial function, stress ecgňň
- biomarkers
- hemostatic markers
cf its related.
- echocardiography measurements, brachial endothelial function, stress ecgňň
- biomarkers
- hemostatic markers
matching
1. Q: to match or not to match?
A: it depends - what study design?
a) advantages
b) disadvantages
2. how to match - types of matching
a) frequency matching
b) individual
in case-control studies - Does the ratio case vs control 1:n matter? the more the better?
overmatching - cf twin studies?
terms:
counter-matching - *********counter-matching Langholz 2001, 2005
flexible matching
optimal ?
propensity score matching
matching in genetic association studies
- aim - to avoid population stratification ???
genomic control
admixture
A: it depends - what study design?
a) advantages
b) disadvantages
2. how to match - types of matching
a) frequency matching
b) individual
in case-control studies - Does the ratio case vs control 1:n matter? the more the better?
overmatching - cf twin studies?
terms:
counter-matching - *********counter-matching Langholz 2001, 2005
flexible matching
optimal ?
propensity score matching
matching in genetic association studies
- aim - to avoid population stratification ???
genomic control
admixture
blogtips
1. to include relevance of the link, type a number of asterisks (****) immediately in front of the link .
e.g. *********counter-matching Langholz 2001, 2005
http://kucej.blog.sme.sk/
e.g. *********counter-matching Langholz 2001, 2005
http://kucej.blog.sme.sk/
statistics elementar courses
EPBI 431 - STATISTICAL METHODS IN BIOLOGICAL & MEDICAL SCIENCES I
ppt presentations of basic concepts
ppt presentations of basic concepts
genetic association, population substructure, admixture
The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases
A Geert Heidema1,4 , Jolanda MA Boer1 , Nico Nagelkerke2 , Edwin CM Mariman3 , Daphne L van der A1 and Edith JM Feskens1,4
Ethnicity, Ancestry, and Race in Molecular Epidemiologic Research
*
Genetic structure in four West African population groups
**
Genetic Admixture among Hispanics and Candidate Gene Polymorphisms: Potential for Confounding in a Breast Cancer Study?
**
nih grants, gwa
*
genetics 2006
A General Population-Genetic Model for the Production by Population Structure of Spurious Genotype–Phenotype Associations in Discrete, Admixed or Spatially Distributed Populations
*
bertram JCI 2005
The genetic epidemiology of neurodegenerative disease
*
genetic epidemiology - respiratory diseases - nice comments (from Villejuif, Paris)
*
gen epid - psychiatry - nice remarks (2000)
*
2005 Markus, Dichgans
Genetic Association Studies in Stroke
Methodological Issues and Proposed Standard Criteria
cdc
Clinical Application of Genetic Risk Assessment Strategies for Coronary Artery Disease: Genotypes, Phenotypes, and Family History
*
genetic approaches to CAD
inc. multistage design
*
artificial intelligence chapter 1
Family-Based versus Unrelated Case-Control Designs for Genetic Associations
*
1983
GUIDELINES FOR THE STUDY OF GENETIC EFFECTS IN HUMAN POPULATIONS
inchem, WHO
* 2006
International Conference on Environmental Epidemiology & Exposure
*
A Geert Heidema1,4 , Jolanda MA Boer1 , Nico Nagelkerke2 , Edwin CM Mariman3 , Daphne L van der A1 and Edith JM Feskens1,4
Ethnicity, Ancestry, and Race in Molecular Epidemiologic Research
*
Genetic structure in four West African population groups
**
Genetic Admixture among Hispanics and Candidate Gene Polymorphisms: Potential for Confounding in a Breast Cancer Study?
**
nih grants, gwa
*
genetics 2006
A General Population-Genetic Model for the Production by Population Structure of Spurious Genotype–Phenotype Associations in Discrete, Admixed or Spatially Distributed Populations
*
bertram JCI 2005
The genetic epidemiology of neurodegenerative disease
*
genetic epidemiology - respiratory diseases - nice comments (from Villejuif, Paris)
*
gen epid - psychiatry - nice remarks (2000)
*
2005 Markus, Dichgans
Genetic Association Studies in Stroke
Methodological Issues and Proposed Standard Criteria
cdc
Clinical Application of Genetic Risk Assessment Strategies for Coronary Artery Disease: Genotypes, Phenotypes, and Family History
*
genetic approaches to CAD
inc. multistage design
*
artificial intelligence chapter 1
Family-Based versus Unrelated Case-Control Designs for Genetic Associations
*
1983
GUIDELINES FOR THE STUDY OF GENETIC EFFECTS IN HUMAN POPULATIONS
inchem, WHO
* 2006
International Conference on Environmental Epidemiology & Exposure
*
štvrtok 22. novembra 2007
software, genetic association studies
PedGenie software, introduced in 2006, includes genetic association testing of cases and controls that may be independent or related (nuclear families or extended pedigrees) or mixtures thereof using Monte Carlo significance testing.
observational studies, reporting
http://www.strobe-statement.org/.
Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies.
cf article in BMJ
interpretation of observational studies BMJ 1994
Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies.
cf article in BMJ
interpretation of observational studies BMJ 1994
case control matching, genetic association studies
role of matching in epidemiologic studies pdf
inverse sampling Keogh 2007 IJE http://biostatistics.oxfordjournals.org/cgi/content/abstract/kxm019v1
Goldstein , Andrieu 1999 on detection of interaction GE - discusses COUNTERMATCHING method
Flexible Matching Strategies to Increase Power and Efficiency to Detect and Estimate Gene-Environment Interactions in Case-Control Studies.
Original Contributions American Journal of Epidemiology. 155(7):593-602, April 1, 2002.Sturmer, Til 1,2; Brenner, Hermann 1,2
Abstract: Lack of power is a pertinent problem in many case-control studies of gene-environment interactions. The authors recently introduced the concept of flexible matching strategies with varying proportions of a matching factor among selected controls (degree of matching) to increase the power and efficiency of case-control studies. In this study, they extended the concept of flexible matching strategies to the field of gene-environment interactions. They assessed the power and efficiency of such studies to detect and estimate gene-environment interactions under a variety of assumptions regarding the prevalence and effects of the environmental exposure and the genetic susceptibility as well as their association in the population. For each set of parameters, 10,000 case-control studies were simulated using varying degrees of matching. Traditional frequency matching increased the power and precision in most scenarios, but even greater gains were often obtained by increasing the prevalence of the environmental exposure in controls above the one in cases. The authors concluded that flexible matching strategies can increase the power and efficiency of case-control studies to detect and estimate gene-environment interactions compared with traditional frequency matching and therefore might help to alleviate the notorious lack of power of these studies in specific situations.
Flexible Matching in Case-Control Studies of Gene-Environment Interactions
2004 AJE, Saunders, Barrett
Multivariate and Propensity Score Matching
Software with Automated Balance Optimization:
The Matching package for R
reducing selection bias by propensity score matching (PPT) Bo Lu 2007
in SAS - MACRO
matching for ethnicity using a panel of SNPs (pdf)
An Introduction to Matching and its Application using SAS®
The use and misuse of matching in case-control studies: the example of PCOS
Fertil Steril 2007
part of paper on "degree of matching and gain in power and efficiency of case control studies" in Epidemiology 2001
(terms frequency matching, ...)
cf counter matching - (counterintuitive matching) to increase informative pairs
example - countermatching on radiation exposure from IJE 2004
advanced ??
file:///C:/Documents%20and%20Settings/Javorsky/Local%20Settings/Temporary%20Internet%20Files/Content.IE5/K1UJG9UN/256,1,Reducing Selection Bias via Propensity Score Approach
optimal case control multivariate matching
---------------------------------------------
HILDA australian data - social survey
inverse sampling Keogh 2007 IJE http://biostatistics.oxfordjournals.org/cgi/content/abstract/kxm019v1
Matching BMJ Stat notes - Bland, Altman 1994
and letter
optimal matching software - stat packages SAS, R (bipartite)
Goldstein , Andrieu 1999 on detection of interaction GE - discusses COUNTERMATCHING method
Flexible Matching Strategies to Increase Power and Efficiency to Detect and Estimate Gene-Environment Interactions in Case-Control Studies.
Original Contributions American Journal of Epidemiology. 155(7):593-602, April 1, 2002.Sturmer, Til 1,2; Brenner, Hermann 1,2
Abstract: Lack of power is a pertinent problem in many case-control studies of gene-environment interactions. The authors recently introduced the concept of flexible matching strategies with varying proportions of a matching factor among selected controls (degree of matching) to increase the power and efficiency of case-control studies. In this study, they extended the concept of flexible matching strategies to the field of gene-environment interactions. They assessed the power and efficiency of such studies to detect and estimate gene-environment interactions under a variety of assumptions regarding the prevalence and effects of the environmental exposure and the genetic susceptibility as well as their association in the population. For each set of parameters, 10,000 case-control studies were simulated using varying degrees of matching. Traditional frequency matching increased the power and precision in most scenarios, but even greater gains were often obtained by increasing the prevalence of the environmental exposure in controls above the one in cases. The authors concluded that flexible matching strategies can increase the power and efficiency of case-control studies to detect and estimate gene-environment interactions compared with traditional frequency matching and therefore might help to alleviate the notorious lack of power of these studies in specific situations.
Flexible Matching in Case-Control Studies of Gene-Environment Interactions
2004 AJE, Saunders, Barrett
Multivariate and Propensity Score Matching
Software with Automated Balance Optimization:
The Matching package for R
reducing selection bias by propensity score matching (PPT) Bo Lu 2007
in SAS - MACRO
matching software" in R - matchbalance, match, genmatch
SPSS - propensity score macro
matching for ethnicity using a panel of SNPs (pdf)
An Introduction to Matching and its Application using SAS®
The use and misuse of matching in case-control studies: the example of PCOS
Fertil Steril 2007
part of paper on "degree of matching and gain in power and efficiency of case control studies" in Epidemiology 2001
(terms frequency matching, ...)
cf counter matching - (counterintuitive matching) to increase informative pairs
example - countermatching on radiation exposure from IJE 2004
advanced ??
file:///C:/Documents%20and%20Settings/Javorsky/Local%20Settings/Temporary%20Internet%20Files/Content.IE5/K1UJG9UN/256,1,Reducing Selection Bias via Propensity Score Approach
optimal case control multivariate matching
---------------------------------------------
HILDA australian data - social survey
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