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 E-ISSN 2320-3838
  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 (Unpublished)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 (Unpublished)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
1An empirical study on the efficiency of the trim and fill method in correcting publication bias in meta analysis 1363
2Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance1251
3The effects of imputing the missing standard deviations on the standard error of meta analysis estimates1248
4Performance of selected imputation techniques for missing variances in meta-analysis 1223
5An empirical comparison of meta analysis models for continuous data with missing standard deviations1214
6Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance1210
7The effects of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations1197
8Quantifying and adjusting the effects of publication bias in continuous meta-analysis 1059
9Quantifying and adjusting the effects of publication bias in continuous meta-analysis1048
10A comparison of methods to detect publication bias for meta-analysis of continuous data1040
11On selection of models for continuos meta analysis data with incomplete variability measures1031
12Assessing the efficacy of the trim and fill method in adjusting for publication bias in meta analysis1002
13Performance of the trim and fill method in adjusting for the publication bias in meta-analysis of continuous data998
14A study on the effect of publication bias in meta analysis 956
15Beyond classical meta-analysis: can inadequately reported studies be included?954
16Analysis of data using multilevel modelling with MLwiN 953
17Performance of selected imputation techniques for missing variances in meta-analysis 901
18Missing variability in meta-analysis : is imputing always good?880
19Modelling repeated measures data in meta analysis: an alternative approach873
20Estimating the bias in meta analysis estimates based on fixed effect model for data with missing variability measures841
21An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations807
22A case study on the effect of imputing the missing variability measures in meta analysis801
23A study on the effects of different levels of data on the overall meta-analysis estimates794
24An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations702
25On pooling different levels of data in estimating parameters of continuous meta-analysis693
26An empirical assessment of meta-analysis estimates from multi-level studies623
27Combining aggregate data and individual patient data in meta-analysis : an alternative method 611
28On pooling different levels of data in estimating parameters of continuous meta-analysis595
29A modified two-stage method for combining the aggregate-data and individual-patient-data in meta-analysis 581
30Integrating aggregate-data and individual-patient-data in meta-analysis: an empirical assessment and an alternative methodfor the two-stage approach 537