| Self-rated health and a healthy lifestyle are the most important predictors of survival in elderly women J Ford, M Spallek, A Dobson Age and ageing 37 (2), 194-200, 2008 | 160 | 2008 |
| Walking to school: distribution by age, sex and socio-economic status M Spallek, C Turner, A Spinks, C Bain, R McClure Health Promotion Journal of Australia 17 (2), 134-138, 2006 | 61 | 2006 |
| Women’s weight: findings from the Australian Longitudinal Study on women’s health: report prepared for the Australian Government Department of Health and Ageing L Adamson, W Brown, J Byles, C Chojenta, A Dobson, D Fitzgerald, ... Australian Government Department of Health and Ageing, 2007 | 57 | 2007 |
| Height loss in elderly women is preceded by osteoporosis and is associated with digestive problems and urinary incontinence J Berecki-Gisolf, M Spallek, R Hockey, A Dobson Osteoporosis international 21, 479-485, 2010 | 42 | 2010 |
| Trends in women's risk factors and chronic conditions: findings from the Australian Longitudinal Study on Women's Health J Lucke, B Waters, R Hockey, M Spallek, R Gibson, J Byles, A Dobson Women’s Health 3 (4), 423-432, 2007 | 33 | 2007 |
| Holistic housing pathways for Australian families through the childbearing years M Spallek, M Haynes, A Jones Longitudinal and Life Course Studies 5 (2), 205-226, 2014 | 24 | 2014 |
| Health across generations: findings from the Australian Longitudinal Study on Women’s Health JC Lucke, W Brown, L Tooth, D Loxton, J Byles, M Spallek, J Powers, ... Biological Research for Nursing 12 (2), 162-170, 2010 | 24 | 2010 |
| Health across generations: findings from the Australian Longitudinal Study on Women’s Health JC Lucke, W Brown, L Tooth, D Loxton, J Byles, M Spallek, J Powers, ... Biological Research for Nursing 12 (2), 162-170, 2010 | 24 | 2010 |
| Socio‐economic distribution of environmental risk factors for childhood injury JV Turner, M Spallek, JM Najman, C Bain, DM Purdie, J Nixon, D Scott, ... Australian and New Zealand journal of public health 30 (6), 514-518, 2006 | 21 | 2006 |
| Scald prevention campaigns: do they work? M Spallek, J Nixon, C Bain, DM Purdie, A Spinks, D Scott, RJ McClure Journal of burn care & research 28 (2), 328-333, 2007 | 18 | 2007 |
| Methods for categorical longitudinal survey data: understanding employment status of Australian women M Haynes, M Western, M Spallek HILDA Survey Research Conference, 1-24, 2005 | 18 | 2005 |
| Methods for categorical longitudinal survey data: understanding employment status of Australian women M Haynes, M Western, M Spallek HILDA Survey Research Conference, 1-24, 2005 | 17 | 2005 |
| An investigation into repeat requests for charity: Evidence from the St Vincent de Paul Society Queensland, Australia CL Ambrey, C Parsell, M Spallek, RNS Robinson Nonprofit and Voluntary Sector Quarterly 48 (1), 91-107, 2019 | 7 | 2019 |
| Trends in women’s health: Results from the ALSWH priority conditions, risk factors and health behaviours W Brown, J Byles, G Carigan, A Dopson, X Dolja-Gore, R Gibson, ... Women’s Health Australia, 2006 | 5 | 2006 |
| The Australian Coder Workforce Survey 2002-Coders’ responses K McKenzie, SM Walker, A Klisanin, M Spallek Coding matters 10 (1), 14-17, 2003 | 4 | 2003 |
| The value of administrative data for longitudinal social research: A case study investigating income support receipt and relationship separation in Australia M Spallek, M Haynes, J Baxter, N Kapelle International Journal of Social Research Methodology 23 (5), 467-481, 2020 | 3 | 2020 |
| Australian Coder workforce survey 2002-managers’ responses K McKenzie, SM Walker, M Spallek Coding Matters 9 (4), 1-6, 2003 | 3 | 2003 |
| Quality of Initial Teacher Education Through Longitudinal Analysis of Linked Datasets: Executive Summary. Examining Performance Trajectories from Admission to Graduation. Study 1 C Wyatt-Smith, M Haynes, C Day, M Spallek, A Smith Australian Catholic University, 2021 | 2 | 2021 |
| Relationship separation and length of time in receipt of income support payments: A longitudinal analysis of Australian Government administrative data M Spallek, M Haynes, J Baxter, N Kapelle The University of Queensland, 2018 | 2 | 2018 |
| Analysing sensitive data from dynamically-generated overlapping contingency tables JJ Bon, B Baffour, M Spallek, M Haynes Journal of official statistics 36 (2), 275-296, 2020 | 1 | 2020 |
