goldsteinepi/catchment: Inverse probability weighting for selection bias in a Delaware community health center electronic medical record study of community deprivation and hepatitis C prevalence.

Adjusting for selection bias in retrospective, case-control studies

Sara Geneletti
Sylvia Richardson
Nicky Best

February 2015

Retrospective case control studies are more susceptible to selection bias than other epidemiologic s...

goldsteinepi/covid_hiv: An ecological exploration of the co-occurrence of HIV and COVID-19 infection in Philadelphia, Pennsylvania using a ratio-based measure.

Neal D. Goldstein

January 2021

Welles SL, Goldstein ND. An ecological exploration of the co-occurrence of HIV and COVID-19 infectio...

Weighted unadjusted and mutually adjusted odds ratios (OR) for having Hepatitis C antibodies (anti-HCV), by participant characteristics and risk factors, overall and stratified by urban/rural status.

Ajit Sood (131679)
A. Suryaprasad (5562641)
A. Trickey (5562644)
S. Kanchi (5562647)
V. Midha (5562650)
M. A. Foster (5562653)
E. Bennett (2892521)
S. Kamili (5562656)
F. Alvarez-Bognar (5562659)
S. Shadaker (5562662)
V. Surlikar (5562665)
R. Garg (5562668)
P. Mittal (5562671)
S. Sharma (727643)
M. T. May (5562674)
P. Vickerman (5562677)
F. Averhoff (5562680)

July 2018

<p>Weighted unadjusted and mutually adjusted odds ratios (OR) for having Hepatitis C antibodies (ant...

goldsteinepi/catchment: Inverse probability weighting for selection bias in a Delaware community health center electronic medical record study of community deprivation and hepatitis C prevalence.

Neal D. Goldstein

March 2021

Goldstein ND, Kahal D, Testa K, Burstyn I. Inverse probability weighting for selection bias in a Del...

goldsteinepi/catchment: Catchment and selection bias in an outpatient electronic medical record study of community deprivation and chronic Hepatitis C virus infection.

Neal D. Goldstein

January 2020

Goldstein ND, Kahal D, Testa K, Burstyn I. Catchment and selection bias in an outpatient electronic ...

goldsteinepi/covid_spatial: A Bayesian Approach to Improving Spatial Estimates of Prevalence of COVID-19 After Accounting for Misclassification Bias in Surveillance Data in Philadelphia, PA.

Neal D. Goldstein

October 2020

Goldstein ND, Wheeler DC, Gustafson P, Burstyn I. A Bayesian Approach to Improving Spatial Estimates...

goldsteinepi/validation_hcv: Accuracy of chronic Hepatitis C diagnosis in the electronic medical record: implications for bias correction approaches.

Neal D. Goldstein

September 2019

Goldstein ND, Kahal D, Testa K. Accuracy of chronic Hepatitis C diagnosis in the electronic medical ...

goldsteinepi/covid_spatial: A Bayesian Approach to Improving Spatial Estimates After Accounting for Misclassification Bias in Surveillance Data for COVID-19 in Philadelphia, PA.

Neal D. Goldstein

August 2020

Goldstein ND, Wheeler DC, Gustafson P, Burstyn I. A Bayesian Approach to Improving Spatial Estimates...

Selection Bias Due to Loss to Follow Up in Cohort Studies

Howe, Chanelle J.
Cole, Stephen R.
Lau, Bryan
Napravnik, Sonia
Eron, Joseph J.

January 2016

Selection bias due to loss to follow up represents a threat to the internal validity of estimates de...

goldsteinepi/validation_hcv: Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via diagnostic codes.

Neal D. Goldstein

January 2022

Goldstein ND, Kahal D, Testa K, Gracely EJ, Burstyn I. Data quality in electronic health record rese...

Selection bias modeling using observed data augmented with imputed record-level probabilities.

Thompson, Caroline A
Arah, Onyebuchi A

October 2014

PurposeSelection bias is a form of systematic error that can be severe in compromised study designs ...

A Bayesian evidence synthesis approach to estimate disease prevalence in hard-to-reach populations: hepatitis C in New York City

Sarah Tan
Susanna Makela
Daliah Heller
Kevin Konty
Sharon Balter
Tian Zheng
James H. Stark

June 2018

Existing methods to estimate the prevalence of chronic hepatitis C (HCV) in New York City (NYC) are ...

Use of a null assumption to re-analyze data collected through a rolling cohort subject to selection bias due to informative censoring

Mark Reeder

August 2021

A novel method of estimating selection bias due to informative censoring for a rolling cohort utiliz...

Selection bias in epidemiologic studies

Law, Graham R.
Baxter, Paul D.
Gilthorpe, Mark S.

February 2012

Bias is inherent in epidemiology, and researchers go to great lengths to avoid introducing bias into...

goldsteinepi/covid_hiv: Use of Neighborhood Infection Incidence to Identify Disparities of COVID-19 and HIV Occurrence in Philadelphia, Pennsylvania.

Neal D. Goldstein

May 2021

Goldstein ND, Webster JL, Robinson LF, Welles SL. Use of Neighborhood Infection Incidence to Identif...

Adjusting for selection bias in retrospective, case-control studies

Sara Geneletti
Sylvia Richardson
Nicky Best

February 2015

Retrospective case control studies are more susceptible to selection bias than other epidemiologic s...

goldsteinepi/covid_hiv: An ecological exploration of the co-occurrence of HIV and COVID-19 infection in Philadelphia, Pennsylvania using a ratio-based measure.

Neal D. Goldstein

January 2021

Welles SL, Goldstein ND. An ecological exploration of the co-occurrence of HIV and COVID-19 infectio...

Weighted unadjusted and mutually adjusted odds ratios (OR) for having Hepatitis C antibodies (anti-HCV), by participant characteristics and risk factors, overall and stratified by urban/rural status.

Ajit Sood (131679)
A. Suryaprasad (5562641)
A. Trickey (5562644)
S. Kanchi (5562647)
V. Midha (5562650)
M. A. Foster (5562653)
E. Bennett (2892521)
S. Kamili (5562656)
F. Alvarez-Bognar (5562659)
S. Shadaker (5562662)
V. Surlikar (5562665)
R. Garg (5562668)
P. Mittal (5562671)
S. Sharma (727643)
M. T. May (5562674)
P. Vickerman (5562677)
F. Averhoff (5562680)

July 2018

<p>Weighted unadjusted and mutually adjusted odds ratios (OR) for having Hepatitis C antibodies (ant...

goldsteinepi/catchment: Inverse probability weighting for selection bias in a Delaware community health center electronic medical record study of community deprivation and hepatitis C prevalence.

Neal D. Goldstein

March 2021

Goldstein ND, Kahal D, Testa K, Burstyn I. Inverse probability weighting for selection bias in a Del...

goldsteinepi/catchment: Catchment and selection bias in an outpatient electronic medical record study of community deprivation and chronic Hepatitis C virus infection.

Neal D. Goldstein

January 2020

Goldstein ND, Kahal D, Testa K, Burstyn I. Catchment and selection bias in an outpatient electronic ...

goldsteinepi/covid_spatial: A Bayesian Approach to Improving Spatial Estimates of Prevalence of COVID-19 After Accounting for Misclassification Bias in Surveillance Data in Philadelphia, PA.

Neal D. Goldstein

October 2020

Goldstein ND, Wheeler DC, Gustafson P, Burstyn I. A Bayesian Approach to Improving Spatial Estimates...

goldsteinepi/validation_hcv: Accuracy of chronic Hepatitis C diagnosis in the electronic medical record: implications for bias correction approaches.

Neal D. Goldstein

September 2019

Goldstein ND, Kahal D, Testa K. Accuracy of chronic Hepatitis C diagnosis in the electronic medical ...

goldsteinepi/covid_spatial: A Bayesian Approach to Improving Spatial Estimates After Accounting for Misclassification Bias in Surveillance Data for COVID-19 in Philadelphia, PA.

Neal D. Goldstein

August 2020

Goldstein ND, Wheeler DC, Gustafson P, Burstyn I. A Bayesian Approach to Improving Spatial Estimates...

Selection Bias Due to Loss to Follow Up in Cohort Studies

Howe, Chanelle J.
Cole, Stephen R.
Lau, Bryan
Napravnik, Sonia
Eron, Joseph J.

January 2016

Selection bias due to loss to follow up represents a threat to the internal validity of estimates de...

goldsteinepi/validation_hcv: Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via diagnostic codes.

Neal D. Goldstein

January 2022

Goldstein ND, Kahal D, Testa K, Gracely EJ, Burstyn I. Data quality in electronic health record rese...

Selection bias modeling using observed data augmented with imputed record-level probabilities.

Thompson, Caroline A
Arah, Onyebuchi A

October 2014

PurposeSelection bias is a form of systematic error that can be severe in compromised study designs ...

A Bayesian evidence synthesis approach to estimate disease prevalence in hard-to-reach populations: hepatitis C in New York City

Sarah Tan
Susanna Makela
Daliah Heller
Kevin Konty
Sharon Balter
Tian Zheng
James H. Stark

June 2018

Existing methods to estimate the prevalence of chronic hepatitis C (HCV) in New York City (NYC) are ...

Use of a null assumption to re-analyze data collected through a rolling cohort subject to selection bias due to informative censoring

Mark Reeder

August 2021

A novel method of estimating selection bias due to informative censoring for a rolling cohort utiliz...

Selection bias in epidemiologic studies

Law, Graham R.
Baxter, Paul D.
Gilthorpe, Mark S.

February 2012

Bias is inherent in epidemiology, and researchers go to great lengths to avoid introducing bias into...

goldsteinepi/covid_hiv: Use of Neighborhood Infection Incidence to Identify Disparities of COVID-19 and HIV Occurrence in Philadelphia, Pennsylvania.

Neal D. Goldstein

May 2021

Goldstein ND, Webster JL, Robinson LF, Welles SL. Use of Neighborhood Infection Incidence to Identif...

Adjusting for selection bias in retrospective, case-control studies

Sara Geneletti
Sylvia Richardson
Nicky Best

February 2015

Retrospective case control studies are more susceptible to selection bias than other epidemiologic s...

goldsteinepi/covid_hiv: An ecological exploration of the co-occurrence of HIV and COVID-19 infection in Philadelphia, Pennsylvania using a ratio-based measure.

Neal D. Goldstein

January 2021

Welles SL, Goldstein ND. An ecological exploration of the co-occurrence of HIV and COVID-19 infectio...

Weighted unadjusted and mutually adjusted odds ratios (OR) for having Hepatitis C antibodies (anti-HCV), by participant characteristics and risk factors, overall and stratified by urban/rural status.

Ajit Sood (131679)
A. Suryaprasad (5562641)
A. Trickey (5562644)
S. Kanchi (5562647)
V. Midha (5562650)
M. A. Foster (5562653)
E. Bennett (2892521)
S. Kamili (5562656)
F. Alvarez-Bognar (5562659)
S. Shadaker (5562662)
V. Surlikar (5562665)
R. Garg (5562668)
P. Mittal (5562671)
S. Sharma (727643)
M. T. May (5562674)
P. Vickerman (5562677)
F. Averhoff (5562680)

July 2018

<p>Weighted unadjusted and mutually adjusted odds ratios (OR) for having Hepatitis C antibodies (ant...

goldsteinepi/catchment: Inverse probability weighting for selection bias in a Delaware community health center electronic medical record study of community deprivation and hepatitis C prevalence.

Abstract

Extracted data

goldsteinepi/catchment: Inverse probability weighting for selection bias in a Delaware community health center electronic medical record study of community deprivation and hepatitis C prevalence.

Abstract

Extracted data

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