I. Shimizu

发表

Effects of form length and item format on response patterns and estimates of physician office and hospital outpatient department visits. National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, 2001.

E. Hing, C. Burt, S. Schappert, 2005, Vital and health statistics. Series 2, Data evaluation and methods research.

The Relative Impacts of Design Effects and Multiple Imputation on Variance Estimates: A Case Study with the 2008 National Ambulatory Medical Care Survey

N. Schenker, S. Schappert, Sandra L Decker, 2014 .

A Note on the Effect of Data Clustering on the Multiple-Imputation Variance Estimator: A Theoretical Addendum to the Lewis et al. article in JOS 2014

N. Schenker, Jianming Xu, Yulei He, 2016, Journal of official statistics.

Imputation Variance Estimation by Multiple Imputation Method for the National Hospital Discharge Survey

I. Shimizu, Qiyuan Pan, 2009 .

National Survey of Family Growth, Cycle III: sample design, weighting, and variance estimation.

C. Bachrach, W. Mosher, I. Shimizu, 1985, Vital and health statistics. Series 2, Data evaluation and methods research.

Epidemiology of nonfatal deliberate self-harm in the United States as described in three medical databases.

M. Trivedi, G. Larkin, T. Litovitz, 2006, Suicide & life-threatening behavior.

EFFECTS OF DESIGN ASSUMPTIONS ON SUDAAN VARIANCES FOR ESTIMATES OF AGGREGATES IN THE NATIONAL HOSPITAL AMBULATORY CARE SURVEY

I. Shimizu, J. Gonzalez, 2002 .

DESIGN EFFECTS FOR THE NATIONAL HOSPITAL AMBULATORY MEDICAL CARE SURVEY

I. Shimizu, K. Henderson, 2002 .

Sample design, sampling variance, and estimation procedures for the National Ambulatory Medical Care Survey.

J. Feldman, I. Shimizu, E. Bryant, 1988, Vital and health statistics. Series 2, Data evaluation and methods research.

A COMPARISON OF PRECISION BETWEEN TWO-AND THREE-STAGE SAMPLE DESIGNS FOR NATIONAL HOSPITAL DISCHARGE SURVEY

I. Shimizu, 2002 .

Some Research on Sampling Design Alternatives for a Redesigned 2010 National Hospital Discharge Survey

I. Shimizu, Rong Cai, 2008 .

ACaJRACY OF DIFFERENCE MEX~OD FOR APPROXIMATING S~MPLING ERRORS FOR PROPORTION ESTIMATES FROM A COMPleX SAMPLE

I. Shimizu, 2002 .

Nonresponse Bias in Estimates From the 2012 National Ambulatory Medical Care Survey.

E. Hing, I. Shimizu, Anjali Talwalkar, 2016, Vital and health statistics. Series 2, Data evaluation and methods research.

Guide to Using Masked Design Variables to Estimate Standard Errors in Public Use Files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey

Iris Shimizu, E. Hing, C. Burt, 2003, Inquiry : a journal of medical care organization, provision and financing.

DATA REPORT

Vanessa M. Loaiza, Iris Shimizu, V. Camos, 2004 .

Sampling Design for the 2010-12 National Hospital Ambulatory Medical Care Survey

I. Shimizu, 2011 .

Determining Sufficient Number of Imputations Using Variance of Imputation Variances: Data from 2012 NAMCS Physician Workflow Mail Survey*

Eric W. Jamoom, I. Shimizu, Qiyuan Pan, 2014, Applied mathematics.

Effects of calculating standard errors using estimation versus variance weights for 2004 National Nursing Home Survey

R. Remsburg, I. Shimizu, Sarah Gousen, 2007 .

Randomized response technique in a National Survey.

G. S. Bonham, I. Shimizu, I M Shimizu, 1978, Journal of the American Statistical Association.

Combining Estimates from Complementary Surveys: A Case Study Using Prevalence Estimates from National Health Surveys of Households and Nursing Homes

Nathaniel Schenker, E. Hing, N. Schenker, 2002, Public health reports.

Hospital preparedness for emergency response: United States, 2008.

R. Niska, I. Shimizu, 2011, National health statistics reports.

Population based establishment sample surveys: The Horvitz-Thompson estimator

M. Sirken, I. Shimizu, 2009 .

Redesign and operation of the National Home And Hospice Care Survey, 2007.

Laura Branden, L. Harris-Kojetin, Lisa L Dwyer, 2010, Vital and health statistics. Ser. 1, Programs and collection procedures.

Negative Binomials Regression Model in Analysis of Wait Time at Hospital Emergency Department.

Bill Cai, I. Shimizu, 2014, Proceedings. American Statistical Association. Annual Meeting.