Dr Murthy Mittinty

Narasimha Mittinty
Research Fellow - Biostatistician
School of Public Health
Faculty of Health and Medical Sciences

I am a senior research fellow in the School of Public Health. My research interests are in application of statistical methods to problems concerning public health, design and analysis of observational data, imputation of missing data and causal inference.

I am interested in supervising PhD students with strong mathematics and statistics background who are willing to do methodological as well as applied research. I am currently looking for students who are interested in doing PhD.

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Dr Murthy Mittinty

I am a senior research fellow in the School of Public Health. My research interests are in application of statistical methods to problems concerning public health, design and analysis of observational data, imputation of missing data and causal inference.

I am interested in supervising PhD students with strong mathematics and statistics background who are willing to do methodological as well as applied research. I am currently looking for students who are interested in doing PhD.

Methodology
My primary methodological research concerns how we distinguish between association and causation in the health sciences and the study of the mechanisms by which causal effects arise. The current focus of my work includes the analysis of pathways (Mediation), assessments of interaction, and the evaluation of network.  My research employs counterfactual theory and ideas from causal inference to clarify and formalise concepts used by epidemiologists, and health researchers.
My secondary methodological research interests include development of models for dynamic systems, imputation of skewed data, and development of indices.

Empirical Research
My empirical work is in the area of child development and life course epidemiology. In child development epidemiology, I have worked on nutritional effects on IQ, developed measures that allow assess adherence to nutritional guidelines during early life of children. Assess and identify income inequalities on cognition, assess the role of current poverty in mediating the effects of childhood poverty on cognitive outcomes. In dental epidemiology, I have been studying the pathways that effect periodontal outcomes. In educational epidemiology, I have been studying the role of non-cognition in mediating the effects of cognition on school achievement.

Appointments

Date Position Institution name
2011 Biostatistician School of Public Health
2010 - 2011 Biostatistician University of South Australia
2008 - 2010 Postdoctoral Research Fellow Queensland University of Technology
2006 - 2008 Postdoctoral Research Fellow National Institute of Water and Atmospheric Research

Language Competencies

Language Competency
English Can read, write, speak, understand spoken and peer review
Hindi Can read, write, speak, understand spoken and peer review
Kannada Can read, write, speak, understand spoken and peer review
Telugu Can read, write, speak, understand spoken and peer review

Education

Date Institution name Country Title
2000 - 2004 University of Canterbury New Zealand PhD

Postgraduate Training

Date Title Institution Country
MPS International Institute of Population Sciences India
M.Stat Institute of Social Sciences,University of Agra India

Certifications

Date Title Institution name Country
2011 AStat Statistical Society of Australia Inc Australia

Keywords

Applied Statistics, Biostatistics, Econometric and Statistical Methods, Statistical Theory

Journals

Date Citation
2017 Nascimento,G, Peres,K, Mittinty,M, Mejia,G, Silva,D, Gonzalez-Chica,D, Peres,M, 2017, Obesity and periodontal outcomes: a population-based cohort study in Brazil, Journal of Periodontology, 88, 1, 50-58 10.1902/jop.2016.160361
2017 Gaikwad,M, Vanlint,S, Mittinity,M, Moseley,G, Stocks,N, 2017, Does vitamin D supplementation alleviate chronic nonspecific musculoskeletal pain? A systematic review and meta-analysis, Clinical Rheumatology, 36, 5, 1201-1208 10.1007/s10067-016-3205-1
2017 Gaikwad,M, Vanlint,S, Moseley,G, Mittinty,M, Stocks,N, 2017, Understanding patient perspectives on management of their chronic pain: Online survey protocol, Journal of Pain Research, 10, 31-35 10.2147/JPR.S124710
2016 Pearce,A, Sawyer,A, Chittleborough,C, Mittinty,M, Law,C, Lynch,J, 2016, Do early life cognitive ability and self-regulation skills explain socio-economic inequalities in academic achievement? An effect decomposition analysis in UK and Australian cohorts, Social Science and Medicine, 165, -, 108-118 10.1016/j.socscimed.2016.07.016
2016 Chong,S, Chittleborough,C, Gregory,T, Mittinty,M, Lynch,J, Smithers,L, 2016, Parenting practices at 24 to 47 Months and IQ at age 8: effect-measure modification by infant temperament, PLoS One, 11, 3, e0152452-1-e0152452-16 10.1371/journal.pone.0152452
2016 Pham,C, Gibb,C, Mittinty,M, Fitridge,R, Marshall,V, Karnon,J, 2016, A comparison of propensity score-based approaches to health service evaluation: a case study of a preoperative physician-led clinic for high-risk surgical patients, Journal of Evaluation in Clinical Practice, 22, 5, 761-770 10.1111/jep.12537
2016 Brinkman,S, Johnson,S, Codde,J, Hart,M, Straton,J, Mittinty,M, Silburn,S, 2016, Efficacy of infant simulator programmes to prevent teenage pregnancy: a school-based cluster randomised controlled trial in Western Australia, The Lancet, 388, 10057, 2264-2271 10.1016/S0140-6736(16)30384-1
2016 Sawyer,M, Reece,C, Bowering,K, Jeffs,D, Sawyer,A, Peters,J, Mpundu-Kaambwa,C, Clark,J, McDonald,D, Mittinty,M et al, 2016, Usage, adherence and attrition: how new mothers engage with a nurse-moderated web-based intervention to support maternal and infant health. A 9-month observational study, BMJ Open, 6, 8, e009967-1-e009967-11 10.1136/bmjopen-2015-009967
2015 Gorjian,N, Sun,Y, Ma,L, Yarlagadda,P, Mittinty,M, 2015, Remaining useful life prediction of rotating equipment using covariate-based hazard models – Industry applications, Australian Journal of Mechanical Engineering, 1-10 10.1080/14484846.2015.1093251
2015 Gialamas,A, Mittinty,MN, Sawyer,MG, Zubrick,SR, Lynch,J, 2015, Time spent in different types of childcare and children's development at school entry: an Australian longitudinal study, Archives of Disease in Childhood, 100, 3, 226-232 10.1136/archdischild-2014-306626
2015 Maika,A, Mittinty,M, Brinkman,S, Lynch,J, 2015, Effect on child cognitive function of increasing household expenditure in Indonesia: application of a marginal structural model and simulation of a cash transfer programme, International journal of epidemiology, 44, 1, 218-228 10.1093/ije/dyu264
2015 Rao,S, Mejia,G, Roberts-Thomson,K, Logan,R, Kamath,V, Kulkarni,M, Mittinty,M, 2015, Estimating the effect of childhood socioeconomic disadvantage on oral cancer in India using marginal structural models, Epidemiology, 26, 4, 509-517 10.1097/EDE.0000000000000312
2015 Sawyer,A, Chittleborough,C, Mittinty,M, Miller-Lewis,L, Sawyer,M, Sullivan,T, Lynch,J, 2015, Are trajectories of self-regulation abilities from ages 2-3 to 6-7 associated with academic achievement in the early school years?, Child: Care, Health and Development, 41, 5, 744-754 10.1111/cch.12208
2015 Gialamas,A, Mittinty,M, Sawyer,M, Zubrick,S, Lynch,J, 2015, Social inequalities in childcare quality and their effects on children's development at school entry: findings from the Longitudinal Study of Australian Children, Journal of Epidemiology and Community Health, 69, 9, 841-848 10.1136/jech-2014-205031
2015 Chandrasegaram,M, Chiam,S, Chen,J, Khalid,A, Mittinty,M, Neo,E, Tan,C, Dolan,P, Brooke-Smith,M, Kanhere,H et al, 2015, Distribution and pathological features of pancreatic, ampullary, biliary and duodenal cancers resected with pancreaticoduodenectomy, World Journal of Surgical Oncology, 13, 1, 85-1-85-7 10.1186/s12957-015-0498-5
2014 Gialamas,A, Mittinty,N, Sawyer,M, Zubrick,S, Lynch,J, 2014, Child care quality and children's cognitive and socio-emotional development: an Australian longitudinal study, Early Child Development and Care, 184, 7, 977-997 10.1080/03004430.2013.847835
2014 Miller-Lewis,L, Sawyer,A, Searle,A, Mittinty,M, Sawyer,M, Lynch,J, 2014, Student-teacher relationship trajectories and mental health problems in young children, BMC Psychology, 2, 1, 27-1-27-18 10.1186/s40359-014-0027-2
2014 Gialamas,A, Sawyer,A, Mittinty,M, Zubrick,S, Sawyer,M, Lynch,J, 2014, Quality of childcare influences children's attentiveness and emotional regulation at school entry, Journal of Pediatrics, 165, 4, 813-819.e3 10.1016/j.jpeds.2014.06.011
2014 Sawyer,A, Chittleborough,C, Lynch,J, Baghurst,P, Mittinty,N, Kaim,A, Sawyer,M, 2014, Can screening 4-5 year olds accurately identify children who will have teacher-reported mental health problems when children are ages 6-7 years?, Australian and New Zealand Journal of Psychiatry, 48, 6, 554-563 10.1177/0004867413514491
2014 Chittleborough,C, Mittinty,M, Lawlor,D, Lynch,J, 2014, Effects of simulated interventions to improve school entry academic skills on socioeconomic inequalities in educational achievement, Child development, 85, 6, 2247-2262 10.1111/cdev.12309
2014 Singla,A, Broadbridge,V, Mittinty,M, Beeke,C, Maddern,G, 2014, Rural populations have equal surgical and survival outcomes in metastatic colorectal cancer, Australian Journal of Rural Health, 22, 5, 249-256 10.1111/ajr.12133
2013 Maika,A, Mittinty,N, Brinkman,S, Harper,S, Satriawan,E, Lynch,J, 2013, Changes in socioeconomic inequality in Indonesian children's cognitive function from 2000 to 2007: a decomposition analysis, PLoS One, 8, 10, e78809-1-e78809-9 10.1371/journal.pone.0078809
2013 Golley,R, Smithers,L, Mittinty,N, Emmett,P, Northstone,K, Lynch,J, 2013, Diet quality of UK infants is associated with dietary, adiposity, cardiovascular, and cognitive outcomes measured at 7-8 years of age, Journal of Nutrition, 143, 10, 1611-1617 10.3945/jn.112.170605
2013 Brazionis,L, Golley,R, Mittinty,N, Smithers,L, Emmett,P, Northstone,K, Lynch,J, 2013, Diet spanning infancy and toddlerhood is associated with child blood pressure at age 7.5 y, American Journal of Clinical Nutrition, 97, 6, 1375-1386 10.3945/ajcn.112.038489
2013 Mittinty,N, Golley,R, Smithers,L, Brazionis,L, Lynch,J, 2013, A preference based measure of complementary feeding quality: Application to the Avon Longitudinal Study of Parents and Children, PLoS One, 8, 10, 1-10 10.1371/journal.pone.0076111
2013 Roe,Y, Zeitz,C, Mittinty,N, McDermott,R, Chew,D, 2013, Impact of age, gender and indigenous status on access to diagnostic coronary angiography for patients presenting with non-ST segment elevation acute coronary syndromes in Australia, Internal Medicine Journal, 43, 3, 317-322 10.1111/imj.12050
2013 Smithers,L, Golley,R, Mittinty,N, Brazionis,L, Northstone,K, Emmett,P, Lynch,J, 2013, Do dietary trajectories between infancy and toddlerhood influence IQ in childhood and adolescence? Results from a prospective birth cohort study, PLoS One, 8, 3, 1-9 10.1371/journal.pone.0058904
2012 Smithers,L, Golley,R, Mittinty,N, Brazionis,L, Northstone,K, Emmett,P, Lynch,J, 2012, Dietary patterns at 6, 15 and 24 months of age are associated with IQ at 8 years of age, European Journal of Epidemiology, 27, 7, 525-535 10.1007/s10654-012-9715-5
2012 Smithers,L, Brazionis,L, Golley,R, Mittinty,N, Northstone,K, Emmett,P, McNaughton,S, Campbell,K, Lynch,J, 2012, Associations between dietary patterns at 6 and 15 months of age and sociodemographic factors, European Journal of Clinical Nutrition, 66, 6, 658-666 10.1038/ejcn.2011.219
2012 Brinkman,S, Gialamas,A, Rahman,A, Mittinty,N, Gregory,T, Silburn,S, Goldfeld,S, Zubrick,S, Carr,V, Janus,M et al, 2012, Jurisdictional, socioeconomic and gender inequalities in child health and development: analysis of a national census of 5-year-olds in Australia, BMJ Open, 2, 5, 1-14 10.1136/bmjopen-2012-001075
2012 Brazionis,L, Golley,R, Mittinty,N, Smithers,L, Emmett,P, Northstone,K, Lynch,J, 2012, Characterization of transition diets spanning infancy and toddlerhood: a novel, multiple-time-point application of principal components analysis, American Journal of Clinical Nutrition, 95, 5, 1200-1208 10.3945/ajcn.111.026575
2012 Golley,R, Smithers,L, Mittinty,N, Brazionis,L, Emmett,P, Northstone,K, Campbell,K, McNaughton,S, Lynch,J, 2012, An index measuring adherence to complementary feeding guidelines has convergent validity as a measure of infant diet quality, Journal of Nutrition, 142, 5, 901-908 10.3945/jn.111.154971
2010 Makowski,D, Mittinty,MN, 2010, Comparison of Scoring Systems for Invasive Pests Using ROC Analysis and Monte Carlo Simulations, Risk Analysis, 30, 6, 906-915 10.1111/j.1539-6924.2010.01393.x

Conference Papers

Date Citation
2012 Gaikwad,MN, Mittinty,NM, Rogers,MJ, 2012, Effect of digital infrared thermal imaging and cold laser therapy on chronic lower back pain

Theses

Date Citation
2015 Gialamas,A; 2015; The quality, type and time spent in child care in the first three years of life and children’s cognitive and socio-emotional development at school entry

Gialamas  A.,  Mittinty  M.N.,  Lynch J.W. Parenting as an investment in child development: what matters and when?  Channel 7 grants 69,574.

Plikington R, Chittleborough C., Mittinty M.N, Guthridge,S., Petersen J., and Lynch JW.  Child Maltreatment and School Outcomes, Channel 7 Grants 69,574.

Silburn S, Lynch J, Guthridge S, Midford R, Schurer S, Shaw P, Brimblecombe. Walter M, Bodkin-Andrews G, Improving the developmental outcomes of NT Territory children: a datalinkage study to inform policy and practice in health, family services and education. NHMRC-Partnership Project $924761.20 PSP on this grant, Mittinty MN.

Lynch J, Chittleborough C, Smithers L, Sawyer M, Brinkman S, Mittinty M, Sawyer A, Bowering K. Child health and development: a South Australian data linkage study. National Health and Medical Research Council - Partnership Project. $453,131, CI- E on this grant

Gurmeet Singh, Sue Sayers, Heather D'Antoine, Murthy N Mittinty, Tricia Nagel, Wendy Hoy, Anne Chang, John Lynch: APP1046391 - Implications of early life and contemporary influences on body composition, mental health, and precursors of chronic diseases in the Aboriginal Birth Cohort Study $2,240,417.63. 2013. Co-investigator D on this grant.

Workshop funding worth of $5000 was secured from Otago University.

Investigating Health and Disease, Semester -2.

Biostatistics Collaboration of Australia (DES Course Co-ordinator) 2016

Currently PhD

Aubyn Mary Pincomb (Propensity score methods, methodology)

Completed PhD

Angela Gialamas (Employed with School of Public Health University of Adelaide)

Amelia Maika  (Employed in Indonesia, works on World Bank Project)

Shiau Yun Chong (Employed at Melbourne Children's Hospital)

Nima Gorjian (Employed at SA Water)

 

Memberships

Date Role Membership Country
2016 Member Statistical Society of Australia Inc Australia
2016 Member Institute of Mathematical Statistics United States
2016 Member New Zealand Statistical Society New Zealand
2010 Member Statistical Society of Australia Australia

Committee Memberships

Date Role Committee Institution Country
2014 Founder Causal Inference Group University of Adelaide, Vic Biostat Australia
2013 Council Continued Professional Development, Statistical Society of Australia Inc Australia
Position
Research Fellow - Biostatistician
Phone
83130961
Campus
North Terrace
Building
Adelaide Health and Medical Sciences Building
Room Number
WS9050.03
Org Unit
Public Health

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