A Double Truncated Binomial Model to Assess Psychiatric Health through Brief Psychiatric Rating Scale: When is Intervention Useful?

Authors

  • Alka Sabharwal Department of Statistics, Kirori Mal College, University of Delhi, Delhi, India
  • Babita Goyal Department of Statistics, Ramjas College, University of Delhi, Delhi, India https://orcid.org/0000-0003-3977-5690
  • Vinit Singh Research Scholar, Department of Statistics, University of Delhi, Delhi, India https://orcid.org/0009-0009-9812-256X

DOI:

https://doi.org/10.6000/1929-6029.2024.13.01

Keywords:

Brief Psychiatric Rating Scale, Left-right truncated Binomial model, Psychiatric health, Maximum likelihood estimate, Information matrix

Abstract

A double truncated binomial distribution model with ‘u’ classes truncated on left and ‘v’ classes truncated on right is introduced. Its characteristics, namely, generating functions; and the measures of skewness and kurtosis have been obtained. The unknown parameter has been estimated using the method of maximum likelihood and the method of moments. The confidence interval of the estimate has been obtained through Fisher’s information matrix.

The model is applied on cross sectional data obtained through Brief Psychiatric Rating Scale (BPRS) administered on a group of school going adolescent students; and the above-mentioned characteristics have been evaluated. An expert, on the basis of the BPRS score values, suggested an intervention program. The BPRS scores of the students who could be administered the intervention program lied in a range (which was above the lowest and below the highest possible values) suggested by the expert. Whereas the complete data suggested the average number of problem areas is four (which was not in consonance with the observations given by the expert), the double truncated model suggested the number of such areas as five which was consistent with the observations made by the expert. This establishes the usefulness of double truncated models in such scenarios.

References

Suzuki M. A Binomial Error Model with a Truncated Latent Distribution and its Application. Behaviormetrika 1983; 10: 49-58. https://doi.org/10.2333/bhmk.10.14_49 DOI: https://doi.org/10.2333/bhmk.10.14_49

Bilker WB, Wang MC. A semiparametric extension of the Mann-Whitney test for randomly truncated data. Biometrics 1996; 10-20. https://doi.org/10.2307/2533140 DOI: https://doi.org/10.2307/2533140

Efron B, Petrosian V. Nonparametric methods for doubly truncated data. Journal of the American Statistical Association 1999; 824-34. https://doi.org/10.1080/01621459.1999.10474187 DOI: https://doi.org/10.1080/01621459.1999.10474187

Tokmachev MS. Modeling of truncated probability distributions. InIOP Conference Series: Materials Science and Engineering 2018; 441(1): 012056). IOP Publishing. https://doi.org/10.1088/1757-899X/441/1/012056 DOI: https://doi.org/10.1088/1757-899X/441/1/012056

Aydin D. The doubly-truncated exponentiated inverse Weibull distribution. Anadolu University Journal of Science and Technology B-Theoretical Sciences 2018; 6(1): 55-74. https://doi.org/10.20290/aubtdb.326782 DOI: https://doi.org/10.20290/aubtdb.326782

Fulford D, Pearson R, Stuart BK, Fisher M, Mathalon DH, Vinogradov S, Loewy RL. Symptom assessment in early psychosis: the use of well-established rating scales in clinical high-risk and recent-onset populations. Psychiatry Research 2014; 220(3): 1077-83. https://doi.org/10.1016/j.psychres.2014.07.047 DOI: https://doi.org/10.1016/j.psychres.2014.07.047

Overall JE, Gorham DR. The Brief Psychiatric Rating Scale (BPRS): recent developments in ascertainment and scaling. Psychopharmacology Bulletin 1988.

Thompson PA, Buckley PF, Meltzer HY. The Brief Psychiatric Rating Scale: Effect of Scaling: System on Clinical Response Assessment. Journal of Clinical Psychopharmacology 1994; 14(5): 344-6. https://doi.org/10.1097/00004714-199410000-00010 DOI: https://doi.org/10.1097/00004714-199410000-00010

Unni KE, Srivastav R, Sabharwal A, Goyal B. Assessing the effect of Parental Psychiatric disorder on Adolescents using Brief Psychiatric Rating Scale-A Case Study. International Journal of Research in Social Sciences 2019; 9(7): 401-16.

Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika 1951; 16(3): 297-334. https://doi.org/10.1007/BF02310555 DOI: https://doi.org/10.1007/BF02310555

Tavakol M, Dennick R. Making sense of Cronbach's alpha. International Journal of Medical Education 2011; 2: 53. https://doi.org/10.5116/ijme.4dfb.8dfd DOI: https://doi.org/10.5116/ijme.4dfb.8dfd

Leucht S, Kane JM, Kissling W, Hamann J, Etschel EV, Engel R. Clinical implications of brief psychiatric rating scale scores. The British Journal of Psychiatry 2005; 187(4): 366-71. https://doi.org/10.1192/bjp.187.4.366 DOI: https://doi.org/10.1192/bjp.187.4.366

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Published

2024-01-11

How to Cite

Sabharwal, A. ., Goyal, B. ., & Singh, V. . (2024). A Double Truncated Binomial Model to Assess Psychiatric Health through Brief Psychiatric Rating Scale: When is Intervention Useful?. International Journal of Statistics in Medical Research, 13, 1–12. https://doi.org/10.6000/1929-6029.2024.13.01

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General Articles