How to calculate standard errors for population estimates based on Australian National Health Survey data

Susan M. Donath

doi:10.1111/j.1467-842x.2005.tb00252.x

How to calculate standard errors for population estimates based on Australian National Health Survey data

Australian and New Zealand Journal of Public Health ◽

10.1111/j.1467-842x.2005.tb00252.x ◽

2005 ◽

Vol 29 (6) ◽

pp. 565-571 ◽

Cited By ~ 18

Author(s):

Susan M. Donath

Keyword(s):

Survey Data ◽

National Health ◽

Health Survey ◽

National Health Survey ◽

Standard Errors ◽

Population Estimates ◽

Health Survey Data ◽

Australian National Health Survey

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Heritabilities and shared environmental effects were estimated from household clustering in national health survey data

Journal of Clinical Epidemiology ◽

10.1016/j.jclinepi.2006.02.015 ◽

2006 ◽

Vol 59 (11) ◽

pp. 1191-1198 ◽

Cited By ~ 11

Author(s):

Catherine L. Saunders ◽

Martin C. Gulliford

Keyword(s):

Survey Data ◽

National Health ◽

Health Survey ◽

Environmental Effects ◽

National Health Survey ◽

Health Survey Data

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Corrigendum to: Risk of acute respiratory infection from crop burning in India: estimating disease burden and economic welfare from satellite and national health survey data for 250 000 persons

International Journal of Epidemiology ◽

10.1093/ije/dyz279 ◽

2020 ◽

Vol 49 (2) ◽

pp. 710-711

Author(s):

Suman Chakrabarti ◽

Mohammed Tajuddin Khan ◽

Avinash Kishore ◽

Devesh Roy ◽

Samuel P Scott

Keyword(s):

Survey Data ◽

Respiratory Infection ◽

National Health ◽

Health Survey ◽

Acute Respiratory Infection ◽

Disease Burden ◽

National Health Survey ◽

Economic Welfare ◽

Health Survey Data

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Comment on: “Disease-Specific Out-of-Pocket Payments, Catastrophic Health Expenditure and Impoverishment Effects in India: An Analysis of National Health Survey Data”

Applied Health Economics and Health Policy ◽

10.1007/s40258-021-00650-8 ◽

2021 ◽

Author(s):

Nafis Faizi ◽

Yasir Alvi

Keyword(s):

Survey Data ◽

National Health ◽

Health Survey ◽

Health Expenditure ◽

Catastrophic Health Expenditure ◽

National Health Survey ◽

Out Of Pocket Payments ◽

Health Survey Data ◽

Disease Specific

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Are Baby Boomers Healthier than Generation X? A Profile of Australia’s Working Generations Using National Health Survey Data

PLoS ONE ◽

10.1371/journal.pone.0093087 ◽

2014 ◽

Vol 9 (3) ◽

pp. e93087 ◽

Cited By ~ 10

Author(s):

Rhiannon Pilkington ◽

Anne W. Taylor ◽

Graeme Hugo ◽

Gary Wittert

Keyword(s):

Survey Data ◽

Baby Boomers ◽

Generation X ◽

National Health ◽

Health Survey ◽

National Health Survey ◽

Health Survey Data

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Disease-Specific Out-of-Pocket Payments, Catastrophic Health Expenditure and Impoverishment Effects in India: An Analysis of National Health Survey Data

Applied Health Economics and Health Policy ◽

10.1007/s40258-021-00641-9 ◽

2021 ◽

Author(s):

Jeetendra Yadav ◽

Geetha R. Menon ◽

Denny John

Keyword(s):

Survey Data ◽

National Health ◽

Health Survey ◽

Health Expenditure ◽

Catastrophic Health Expenditure ◽

National Health Survey ◽

Out Of Pocket Payments ◽

Health Survey Data ◽

Disease Specific

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Urban Housing and Crowding: Relation to Certain Population Characteristics as Indicated by National Health Survey Data

JAMA ◽

10.1001/jama.1941.02820240092040 ◽

1941 ◽

Vol 116 (24) ◽

pp. 2732

Keyword(s):

Survey Data ◽

National Health ◽

Health Survey ◽

Urban Housing ◽

National Health Survey ◽

Population Characteristics ◽

Health Survey Data

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Attenuation of the association between sugar-sweetened beverages and diabetes risk by adiposity adjustment: a secondary analysis of national health survey data

European Journal of Nutrition ◽

10.1007/s00394-018-1716-z ◽

2018 ◽

Vol 58 (4) ◽

pp. 1703-1710 ◽

Cited By ~ 2

Author(s):

Yi Jing ◽

Thang S. Han ◽

Majid M. Alkhalaf ◽

Michael E. J. Lean

Keyword(s):

Survey Data ◽

National Health ◽

Health Survey ◽

Secondary Analysis ◽

National Health Survey ◽

Diabetes Risk ◽

Sugar Sweetened Beverages ◽

Sweetened Beverages ◽

Health Survey Data

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Exploring socio-demographic-and geographical-variations in prevalence of diabetes and hypertension in Bangladesh: Bayesian spatial analysis of national health survey data

Spatial and Spatio-temporal Epidemiology ◽

10.1016/j.sste.2019.03.003 ◽

2019 ◽

Vol 29 ◽

pp. 71-83

Author(s):

Paritosh K. Roy ◽

Md Hasinur R. Khan ◽

Tahmina Akter ◽

M. Shafiqur Rahman

Keyword(s):

Spatial Analysis ◽

Survey Data ◽

National Health ◽

Health Survey ◽

National Health Survey ◽

Geographical Variations ◽

Bayesian Spatial Analysis ◽

Health Survey Data

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Painting a portrait: Analysis of national health survey data for cancer genetic counseling

Cancer Medicine ◽

10.1002/cam4.1864 ◽

2019 ◽

Vol 8 (3) ◽

pp. 1306-1314 ◽

Cited By ~ 4

Author(s):

Monica H. Stamp ◽

Ora K. Gordon ◽

Christopher P. Childers ◽

Kimberly K. Childers

Keyword(s):

Genetic Counseling ◽

Survey Data ◽

National Health ◽

Health Survey ◽

National Health Survey ◽

Cancer Genetic Counseling ◽

Cancer Genetic ◽

Health Survey Data

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Who discusses reaching a healthy weight with a general practitioner? Findings from the 2014–15 Australian National Health Survey

Obesity Research & Clinical Practice ◽

10.1016/j.orcp.2018.07.003 ◽

2018 ◽

Vol 12 (5) ◽

pp. 459-464 ◽

Cited By ~ 1

Author(s):

Michelle Kilpatrick ◽

Mark Nelson ◽

Andrew Palmer ◽

Kim Jose ◽

Alison Venn

Keyword(s):

General Practitioner ◽

National Health ◽

Health Survey ◽

National Health Survey ◽

Healthy Weight ◽

Australian National Health Survey

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