IIUM Repository

Dr Nik Ruzni Nik Idris

Dept of Computational and Theoretical Sciences

KULLIYYAH OF SCIENCE

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Latest Additions

  1. Syed Abdul Kadir, Sharifah Zamiah and Draman, Che Rosle and Seman, Mohd Ramli and Safhan, A. Fariz and Abd Razak, Rozalina and Nik Idris, Nik Ruzni (2018) The cardiovascular risk factor profiles among end-stage renal failure patients treated with continuous ambulatory peritoneal dialysis and intermittent hemodialysis. Saudi Journal of Kidney Diseases and Transplantation, 29 (1). pp. 114-119. ISSN 1319-2442
  2. Nik Idris, Nik Ruzni and Misran, Nurul Afiqah (2015) Combining aggregate data and individual patient data in meta-analysis: an alternative method. MATTER: International Journal of Science and Technology, 1 (1). pp. 144-158. ISSN 2454-5880
  3. Nik Idris, Nik Ruzni and Misran, Nurul Afiqah (2015) Combining aggregate data and individual patient data in meta-analysis : an alternative method. In: 13th International Conference on Science and Engineering Research (ICSER), 16 - 17 Dec 2015, Asean Institute of Technology, Bangkok, Thailand. (Unpublished)
  4. Nik Idris, Nik Ruzni and Misran, Nurul Afiqah (2015) Integrating aggregate-data and individual-patient-data in meta-analysis: an empirical assessment and an alternative methodfor the two-stage approach. Modern Applied Science, 9 (13). pp. 237-246. ISSN 1913-1844 (P), 1913-1852 (O)
  5. Nik Idris, Nik Ruzni and Misran, Nurul Afiqah (2015) A modified two-stage method for combining the aggregate-data and individual-patient-data in meta-analysis. Journal of Applied Sciences, 15 (10). pp. 1231-1238. ISSN 1812-5662 (O), 1812-5654 (P)
  6. Misran, Nurul Afiqah and Nik Idris, Nik Ruzni (2015) An empirical assessment of meta-analysis estimates from multi-level studies. In: National Postgraduate Conference on Science and Technology (NPCST 2015), 9-10 Oct 2015, Melia Hotel, Kuala Lumpur.
  7. Nik Idris, Nik Ruzni and Abdullah, Mimi Hafizah (2015) A study on the effects of different levels of data on the overall meta-analysis estimates. Far East Journal of Mathematical Sciences (FJMS), 96 (1). pp. 73-86. ISSN 0972-0871
  8. Nik Idris, Nik Ruzni and Bahrom, Suhaila (2014) On pooling different levels of data in estimating parameters of continuous meta-analysis. In: International Conference on Computational ​ Statistics​ and Data Analysis (ICC ​S​ DA 2014), 18-19 August 2014, Istanbul, Turkey . (Unpublished)
  9. Nik Idris, Nik Ruzni and Baharom, Suhaila (2014) On pooling different levels of data in estimating parameters of continuous meta-analysis. International Journal of Computer, Information, Systems and Control Engineering , 8 (8). pp. 1136-1139. ISSN 1307-6892
  10. Nik Idris, Nik Ruzni and Abdullah, Mimi Hafizah and Tolos, Siti Marponga (2013) Performance of selected imputation techniques for missing variances in meta-analysis. Journal of Physics: Conference Series, 435 (1). 012037. ISSN 1742-6588 (P), 1742-6596 (O)
  11. Nik Idris, Nik Ruzni and Saidin, Norraida (2010) An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations. In: 2nd International Conference on Knowledge Discovery(ICKD 2010), 19-21 March, 2010, Bali, Indonesia.
  12. Nik Idris, Nik Ruzni (2012) Quantifying and adjusting the effects of publication bias in continuous meta-analysis. In: ICMCSSE 2012 : International Conference on Mathematical, Computational and Statistical Sciences, and Engineering, 12-13 September 2012, Singapore.
  13. Nik Idris, Nik Ruzni and Abdullah, Mimi Hafizah and Tolos, Siti Marponga (2012) Performance of selected imputation techniques for missing variances in meta-analysis. In: 4th International Conference on Advancement of Science and Technology, 7-10 November 2012, Vistana Hotel, Kuantan Pahang. (Unpublished)
  14. Nik Idris, Nik Ruzni (2012) Quantifying and adjusting the effects of publication bias in continuous meta-analysis. World Academy of Science, Engineering and Technology, 69. pp. 156-159. ISSN 1307-6884
  15. Nik Idris, Nik Ruzni (2012) Estimating the bias in meta analysis estimates based on fixed effect model for data with missing variability measures. In: IIUM Research, Invention and Innovation Exhibition, IRIIE 2012, 21 - 22 February, 2012., Cultural Activity Centre (CAC) and KAED Gallery, IIUM.. (Unpublished)
  16. Nik Idris, Nik Ruzni and Sarudin, Norraida (2012) Assessing the efficacy of the trim and fill method in adjusting for publication bias in meta analysis. In: IIUM Research, Invention and Innovation Exhibition, IRIIE 2012, 21-22 February 2012, Cultural Activity Centre (CAC) and KAED Gallery, IIUM. (Unpublished)
  17. Nik Idris, Nik Ruzni (2012) Performance of the trim and fill method in adjusting for the publication bias in meta-analysis of continuous data. American Journal of Applied Sciences , 9 (9). pp. 1512-1517. ISSN 1554-3641(O), 1546-9239 (P)
  18. Nik Idris, Nik Ruzni (2012) A comparison of methods to detect publication bias for meta-analysis of continuous data. Journal of Applied Sciences, 12 (13). pp. 1413-1417. ISSN 1812-5662 (O), 1812-5654 (P)
  19. Mohd Nasir, Nurina and Nik Idris, Nik Ruzni (2011) A study on the effect of publication bias in meta analysis. In: Investigations on Pure Mathematics, Finance Mathematics and Optics. IIUM Press, Kuala Lumpur, pp. 194-200. ISBN 9789674181987
  20. Saidin, Nurhafizah and Nik Idris, Nik Ruzni (2011) Analysis of data using multilevel modelling with MLwiN. In: Investigations on Pure Mathematics, Finance Mathematics and Optics. IIUM Press, Kuala Lumpur, pp. 179-185. ISBN 9789674181987

Most Viewed Items

Item titleViews
1The effects of imputing the missing standard deviations on the standard error of meta analysis estimates1036
2Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance1034
3Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance1011
4An empirical comparison of meta analysis models for continuous data with missing standard deviations1008
5An empirical study on the efficiency of the trim and fill method in correcting publication bias in meta analysis 1006
6The effects of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations1005
7Performance of selected imputation techniques for missing variances in meta-analysis 957
8Quantifying and adjusting the effects of publication bias in continuous meta-analysis 871
9On selection of models for continuos meta analysis data with incomplete variability measures867
10Quantifying and adjusting the effects of publication bias in continuous meta-analysis852
11A comparison of methods to detect publication bias for meta-analysis of continuous data825
12Assessing the efficacy of the trim and fill method in adjusting for publication bias in meta analysis808
13Beyond classical meta-analysis: can inadequately reported studies be included?769
14Performance of the trim and fill method in adjusting for the publication bias in meta-analysis of continuous data758
15A study on the effect of publication bias in meta analysis 748
16Modelling repeated measures data in meta analysis: an alternative approach728
17Analysis of data using multilevel modelling with MLwiN 721
18An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations706
19Performance of selected imputation techniques for missing variances in meta-analysis 701
20Missing variability in meta-analysis : is imputing always good?664
21A case study on the effect of imputing the missing variability measures in meta analysis651
22Estimating the bias in meta analysis estimates based on fixed effect model for data with missing variability measures641
23A study on the effects of different levels of data on the overall meta-analysis estimates559
24An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations551
25On pooling different levels of data in estimating parameters of continuous meta-analysis493
26Combining aggregate data and individual patient data in meta-analysis : an alternative method 460
27An empirical assessment of meta-analysis estimates from multi-level studies458
28On pooling different levels of data in estimating parameters of continuous meta-analysis420
29A modified two-stage method for combining the aggregate-data and individual-patient-data in meta-analysis 385
30Integrating aggregate-data and individual-patient-data in meta-analysis: an empirical assessment and an alternative methodfor the two-stage approach 344